Triple
T34734511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Misérables |
E1001301
|
entity |
| Predicate | englishLanguageVersionPremiereLocation |
P181810
|
FINISHED |
| Object | Barbican Centre, London |
—
|
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: Barbican Centre, London | Statement: [Les Misérables, englishLanguageVersionPremiereLocation, Barbican Centre, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishLanguageVersionPremiereLocation Context triple: [Les Misérables, englishLanguageVersionPremiereLocation, Barbican Centre, London]
-
A.
originalLanguagePremiere
Indicates the language in which a work was first premiered or originally released.
-
B.
EnglishVersionFeature
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
C.
languageOfUSVersion
Indicates that one entity is the language used in the U.S. version of another entity (such as a work, product, or edition).
-
D.
firstPublicationLanguageRegion
Indicates the geographic region associated with the language in which an entity was first published.
-
E.
languageOfInternationalEdition
Indicates that a specified language is the language used in the international edition of a work or publication.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 3, 2026, 3:59 p.m.