Triple
T37060748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京都府京田辺市 |
E917315
|
entity |
| Predicate | 茶畑が広がる |
P2078
|
FINISHED |
| Object | はい |
—
|
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: はい | Statement: [京都府京田辺市, 茶畑が広がる, はい]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 茶畑が広がる Context triple: [京都府京田辺市, 茶畑が広がる, はい]
-
A.
cultivatedAlong
Indicates that one entity is grown or farmed in proximity to or in parallel with another entity, typically within the same area or setting.
-
B.
campo
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
C.
widelyCultivatedIn
chosen
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
D.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
-
E.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.