Triple
T15845484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cork |
E384201
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Freemount
Freemount is a small rural village in County Cork, Ireland, known for its close-knit community and agricultural surroundings.
|
E1179863
|
NE FINISHED |
How this triple was built (4 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: Freemount | Statement: [North Cork, containsSettlement, Freemount]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freemount Context triple: [North Cork, containsSettlement, Freemount]
-
A.
Goldmont
Goldmont is an Intel low-power CPU microarchitecture designed to improve performance and efficiency in Atom-based processors for mobile and embedded devices.
-
B.
Valleymount
Valleymount is a small village in County Wicklow, Ireland, known for its scenic setting close to the Poulaphouca Reservoir (Blessington Lakes).
-
C.
Kalorama Heights
Kalorama Heights is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, diplomatic residences, and stately mansions.
-
D.
Martinscroft
Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
-
E.
Ridgmont
Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
- 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: Freemount Triple: [North Cork, containsSettlement, Freemount]
Generated description
Freemount is a small rural village in County Cork, Ireland, known for its close-knit community and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freemount Target entity description: Freemount is a small rural village in County Cork, Ireland, known for its close-knit community and agricultural surroundings.
-
A.
Goldmont
Goldmont is an Intel low-power CPU microarchitecture designed to improve performance and efficiency in Atom-based processors for mobile and embedded devices.
-
B.
Valleymount
Valleymount is a small village in County Wicklow, Ireland, known for its scenic setting close to the Poulaphouca Reservoir (Blessington Lakes).
-
C.
Kalorama Heights
Kalorama Heights is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, diplomatic residences, and stately mansions.
-
D.
Martinscroft
Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
-
E.
Ridgmont
Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
- F. None of above. chosen
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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca636048190bc89cd8b4efa89e9 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa419c6dc81908c9678f8434530f8 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4cff5088190a7f11fd62941f4fb |
completed | May 9, 2026, 9:19 p.m. |
Created at: April 10, 2026, 4:50 a.m.