Triple
T653695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya |
E11598
|
entity |
| Predicate | SakaeIs |
P16964
|
FINISHED |
| Object | central commercial and entertainment district |
—
|
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: central commercial and entertainment district | Statement: [Nagoya, SakaeIs, central commercial and entertainment district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SakaeIs Context triple: [Nagoya, SakaeIs, central commercial and entertainment district]
-
A.
haka
Indicates a performance or execution of a haka, typically as a ceremonial or expressive action directed toward or in the presence of others.
-
B.
usesKatakanaFor
Indicates that one entity is written or represented using katakana script in relation to another entity.
-
C.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
D.
commanderJapan
Indicates that an entity serves as the military commander of Japan or of Japanese forces.
-
E.
hasEmperor
Indicates that an entity is ruled or governed by an emperor.
- F. None of above. chosen
Provenance (4 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.