Triple
T28907961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Corrientes theater district |
E733136
|
entity |
| Predicate | mainTypeOfPerformances |
P63774
|
FINISHED |
| Object | Spanish-language theater |
—
|
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: Spanish-language theater | Statement: [Avenida Corrientes theater district, mainTypeOfPerformances, Spanish-language theater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTypeOfPerformances Context triple: [Avenida Corrientes theater district, mainTypeOfPerformances, Spanish-language theater]
-
A.
typeOfPerformances
chosen
Indicates the kinds or categories of performances associated with or offered by an entity.
-
B.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
C.
performingArtsWorkOf
Indicates that one entity is a performing arts work (such as a play, dance, or musical performance) created by or belonging to another entity.
-
D.
performances
Indicates that an entity stages, presents, or executes artistic or entertainment events for an audience.
-
E.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 8:09 a.m.