Triple
T24234277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riponne–Maurice Béjart metro station |
E601829
|
entity |
| Predicate | namedForProfessionOfHonouree |
P18120
|
FINISHED |
| Object | choreographer |
—
|
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: choreographer | Statement: [Riponne–Maurice Béjart metro station, namedForProfessionOfHonouree, choreographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForProfessionOfHonouree Context triple: [Riponne–Maurice Béjart metro station, namedForProfessionOfHonouree, choreographer]
-
A.
namedForNotabilityOfHonoree
Indicates that something is named in recognition of the honoree’s notable achievements, status, or significance.
-
B.
namedForNationalityOfHonouree
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
C.
honoreeRole
Indicates the specific role, title, or capacity in which an individual is being honored in relation to an award, event, or recognition.
-
D.
honoreeField
Indicates that one entity is recognized or designated as the honoree associated with another entity, such as an award, event, or dedication.
-
E.
honouredPersonOccupation
chosen
Indicates that the honored person is or was associated with a particular occupation or professional role.
- 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f28a99889c819080efdec76be04646 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:02 a.m.