Triple
T36740277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teatr Dramatyczny m.st. Warszawy |
E907589
|
entity |
| Predicate | municipalTheatreOf |
P102053
|
FINISHED |
| Object | Warsaw |
—
|
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: Warsaw | Statement: [Teatr Dramatyczny m.st. Warszawy, municipalTheatreOf, Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalTheatreOf Context triple: [Teatr Dramatyczny m.st. Warszawy, municipalTheatreOf, Warsaw]
-
A.
municipalTheatre
chosen
Indicates that a theatre is designated, owned, or operated as a municipal (city- or town-run) institution.
-
B.
hasMunicipalTheatre
Indicates that a place or administrative entity possesses or contains a municipal theatre as one of its facilities.
-
C.
isNationalTheatreOf
Indicates that a theatre serves as the official national theatre of a specified country or nation.
-
D.
theatreNamedAfter
Indicates that a theatre bears the name of a particular person, place, or entity in whose honor or reference it is named.
-
E.
theatreLocatedIn
Indicates that a theatre is situated within or at a specific geographic location or administrative area.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.