Triple
T30146757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glapthorn |
E766277
|
entity |
| Predicate | nearbyMarketTown |
P138521
|
FINISHED |
| Object | Oundle |
—
|
NE NERFINISHED |
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: Oundle | Statement: [Glapthorn, nearbyMarketTown, Oundle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyMarketTown Context triple: [Glapthorn, nearbyMarketTown, Oundle]
-
A.
nearbyCountryMarket
Indicates that a market is located in a country that is geographically close to another specified country.
-
B.
nearbyStateMarket
Indicates that a market is located in a state that is geographically close to the reference state.
-
C.
nearbySettlements
chosen
Indicates that one settlement is located close to another settlement in geographic space.
-
D.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
E.
marketTown
Indicates that a town functions as a local commercial center where markets are regularly held for trade and exchange.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 7:19 p.m.