Triple
T38599360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkPremiereCity |
P64741
|
FINISHED |
| Object | Vienna |
—
|
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: Vienna | Statement: [Women Are Like That, referredWorkPremiereCity, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkPremiereCity Context triple: [Women Are Like That, referredWorkPremiereCity, Vienna]
-
A.
placeOfWorkPremiere
Indicates the location where a person’s work or performance was first publicly presented or debuted.
-
B.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
C.
worldPremierePlace
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
-
D.
conductedPremiereOf
Indicates that one entity organized and presented the first public performance or showing of another entity (such as a work, event, or production).
-
E.
premieredInWorkPremiereYear
Indicates the year in which a work (such as a performance, film, or composition) had its first public premiere.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: May 3, 2026, 4:32 p.m.