Triple
T30807150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Танец Феи Драже |
E784533
|
entity |
| Predicate | номер в сюите |
P7922
|
FINISHED |
| Object | «Танец Феи Драже» из «Щелкунчик-сюиты» |
—
|
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: «Танец Феи Драже» из «Щелкунчик-сюиты» | Statement: [Танец Феи Драже, номер в сюите, «Танец Феи Драже» из «Щелкунчик-сюиты»]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: номер в сюите Context triple: [Танец Феи Драже, номер в сюите, «Танец Феи Драже» из «Щелкунчик-сюиты»]
-
A.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
B.
hasUnitNumber
Indicates that an entity is associated with a specific unit identifier or number within a larger building, complex, or organizational structure.
-
C.
serviceNumberOrEquivalent
Indicates that one entity specifies the service number or an equivalent identifying code associated with another entity.
-
D.
serviceNumber
Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
-
E.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:43 p.m.