Triple
T5908932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capel |
E131411
|
entity |
| Predicate | hasPrimarySettlementCharacter |
P55226
|
FINISHED |
| Object | village |
—
|
LITERAL FINISHED |
How this triple was built (2 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: village | Statement: [Capel, hasPrimarySettlementCharacter, village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySettlementCharacter Context triple: [Capel, hasPrimarySettlementCharacter, village]
-
A.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
B.
hasCityStatusSettlement
Indicates that a settlement possesses official recognition or designation as a city.
-
C.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
D.
isLocatedInSettlement
Indicates that an entity is situated within or belongs to a specific human settlement, such as a town, village, or city.
-
E.
hasMainPlace
chosen
Indicates that one entity is designated as the primary or central location associated with another entity.
- F. None of above.
Provenance (3 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_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.