Triple
T9759564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolat |
E236634
|
entity |
| Predicate | setInTypeOfPlace |
P16688
|
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: [Chocolat, setInTypeOfPlace, village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInTypeOfPlace Context triple: [Chocolat, setInTypeOfPlace, village]
-
A.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
B.
hasPlaceIn
Indicates that one entity occupies, is located within, or holds a specific position in another entity or context.
-
C.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
D.
meetsInPlaceOf
Indicates that one entity meets or comes together with another specifically at a designated place or location.
-
E.
isLocatedInSettlement
Indicates that an entity is situated within or belongs to a specific human settlement, such as a town, village, or city.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.