Triple
T8135981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West End of London |
E189969
|
entity |
| Predicate | hasPerformingArts |
P46717
|
FINISHED |
| Object | musicals |
—
|
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: musicals | Statement: [West End of London, hasPerformingArts, musicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformingArts Context triple: [West End of London, hasPerformingArts, musicals]
-
A.
performingArtsDomain
chosen
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
B.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
C.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
D.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
E.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.