Triple
T30785984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪国際会議場 |
E783955
|
entity |
| Predicate | 主要ホール名 |
P170134
|
FINISHED |
| Object | メインホール |
—
|
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: メインホール | Statement: [大阪国際会議場, 主要ホール名, メインホール]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要ホール名 Context triple: [大阪国際会議場, 主要ホール名, メインホール]
-
A.
mainStandName
Indicates that one entity is the primary or official name of a stand associated with another entity.
-
B.
主な名物
Indicates that something is a main local specialty or notable product associated with a place or region.
-
C.
最寄娯楽施設
Indicates that one entity is the nearest entertainment facility (such as a theater, arcade, or amusement venue) relative to another entity or location.
-
D.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
-
E.
mainHallDedicatedTo
Indicates that the primary hall of a building or complex is formally dedicated or devoted to a particular person, group, purpose, or entity.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:41 p.m.