Triple
T32706397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Antelopes |
E836282
|
entity |
| Predicate | hasHomePrefecture |
P17718
|
FINISHED |
| Object | Aichi Prefecture |
—
|
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: Aichi Prefecture | Statement: [Toyota Antelopes, hasHomePrefecture, Aichi Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomePrefecture Context triple: [Toyota Antelopes, hasHomePrefecture, Aichi Prefecture]
-
A.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
B.
homePrefecture
chosen
Indicates the prefecture that an entity considers its home or place of origin.
-
C.
hostPrefecture
Indicates the prefecture that serves as the host location for an event, activity, or entity.
-
D.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
-
E.
isAssociatedWithPrefecture
Indicates that an entity has a connection or affiliation with a specific prefecture, such as administrative, geographic, or organizational association.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:10 a.m.