Triple
T17324059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent County League |
E420637
|
entity |
| Predicate | hasMemberClubsFrom |
P54146
|
FINISHED |
| Object | Kent |
—
|
NE ONDG |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kent | Statement: [Kent County League, hasMemberClubsFrom, Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent Context triple: [Kent County League, hasMemberClubsFrom, Kent]
-
A.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
-
B.
Kent
Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
-
C.
Kent
Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
-
D.
Kent
Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
-
E.
Kent
Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kent Triple: [Kent County League, hasMemberClubsFrom, Kent]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kent Target entity description: Kent is a county in South East England known for its historic towns, coastal landscapes, and nickname "The Garden of England" due to its abundant orchards and hop gardens.
-
A.
Kent
chosen
Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
-
B.
Kent
Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
-
C.
Kent
Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
-
D.
Kent
Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
-
E.
Kent
Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberClubsFrom Context triple: [Kent County League, hasMemberClubsFrom, Kent]
-
A.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
B.
participatingClubsFrom
Indicates that certain clubs are taking part in or are involved in an event, activity, or context originating from a specified source or organizer.
-
C.
hasMemberOrganizationsIn
chosen
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
-
D.
hasMultiClubNetwork
Indicates that an entity is part of, or associated with, a network comprising multiple clubs under common ownership, management, or affiliation.
-
E.
memberClubsType
Indicates that an entity is associated as a member with clubs of a specified type or category.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d0cf2481908a018593ef39fd18 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954ecadc8190a6484ff0a207fe9b |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01964923248190b0c3548d90bc1dd9 |
in_progress | May 11, 2026, 8:41 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.