Triple
T37249790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall A |
E923957
|
entity |
| Predicate | isLargestHallOf |
P187341
|
FINISHED |
| Object | Tokyo International Forum |
—
|
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: Tokyo International Forum | Statement: [Hall A, isLargestHallOf, Tokyo International Forum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestHallOf Context triple: [Hall A, isLargestHallOf, Tokyo International Forum]
-
A.
hasGrandHall
Indicates that an entity possesses or includes a grand hall as part of its structure or facilities.
-
B.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
C.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
D.
mainHallDedicatedTo
Indicates that the primary hall of a building or complex is formally dedicated or devoted to a particular person, group, purpose, or entity.
-
E.
largestExhibitHallArea
Indicates that the relationship specifies the maximum floor area among all exhibit halls associated with a given 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb41333b548190912cb238ffc271c9 |
completed | May 6, 2026, 1:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.