Triple
T6785612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Noh Theatre |
E155794
|
entity |
| Predicate | hasMainHallCapacity |
P72212
|
FINISHED |
| Object | about 600 seats |
—
|
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: about 600 seats | Statement: [National Noh Theatre, hasMainHallCapacity, about 600 seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainHallCapacity Context triple: [National Noh Theatre, hasMainHallCapacity, about 600 seats]
-
A.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
B.
mainHallCapacity
chosen
Indicates the maximum number of people that the main hall can accommodate at one time.
-
C.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
D.
courtyardCapacity
Indicates the maximum number of entities that can be accommodated in a courtyard at the same time.
-
E.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.