Triple
T5908921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capel |
E131411
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object |
Kent county
Kent county is a historic county in southeastern England known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
|
E552992
|
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: Kent county | Statement: [Capel, isPartOf, Kent county]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent county Context triple: [Capel, isPartOf, Kent county]
-
A.
Kent County
Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
-
B.
Kent County
Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
-
C.
Kent County
Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
-
D.
Somerset County
Somerset County is a suburban county in central New Jersey known for its residential communities, parks, and commuter access to the New York City metropolitan area.
-
E.
Somerset County
Somerset County is a largely rural county in central Maine known for its forests, lakes, and outdoor recreation opportunities.
- 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 county Triple: [Capel, isPartOf, Kent county]
Generated description
Kent county is a historic county in southeastern England known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kent county Target entity description: Kent county is a historic county in southeastern England known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
-
A.
Kent County
Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
-
B.
Kent County
Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
-
C.
Kent County
Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
-
D.
Somerset County
Somerset County is a suburban county in central New Jersey known for its residential communities, parks, and commuter access to the New York City metropolitan area.
-
E.
Somerset County
Somerset County is a rural, mountainous county in southwestern Pennsylvania known for its outdoor recreation, wind farms, and historic sites such as the Flight 93 National Memorial.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03773f4188190a11276b2d5baad08 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16f568081908839cd2403b7534c |
completed | March 23, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c0b22e4ec88190ac3794edcd1c0b26 |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b29fbec8819092b117bd40e3731f |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:59 p.m.