Triple
T8259429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odesa Opera and Ballet Theater |
E193154
|
entity |
| Predicate | hasBoxes |
P81248
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Odesa Opera and Ballet Theater, hasBoxes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoxes Context triple: [Odesa Opera and Ballet Theater, hasBoxes, true]
-
A.
numberOfBoxes
Indicates the quantity or count of boxes associated with a given entity or context.
-
B.
hasVIPBoxes
Indicates that an entity provides or contains VIP boxes as part of its facilities or offerings.
-
C.
containsBasket
Indicates that one entity includes or holds a basket as part of its contents or composition.
-
D.
hasPressBox
Indicates that a venue or facility includes a designated press box area for media or press personnel.
-
E.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fe5e2c819080741ea24bae0807 |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:49 p.m.