Triple
T35434682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana María Hidalgo Aleu |
E1024168
|
entity |
| Predicate | underMayor |
P193741
|
FINISHED |
| Object | Bernard Delanoë |
—
|
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: Bernard Delanoë | Statement: [Ana María Hidalgo Aleu, underMayor, Bernard Delanoë]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underMayor Context triple: [Ana María Hidalgo Aleu, underMayor, Bernard Delanoë]
-
A.
cityMayor
Indicates that one entity serves as the mayor (chief elected municipal official) of the city represented by the other entity.
-
B.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
C.
formerMayor
Indicates that the subject once held the position of mayor of the object entity but no longer does.
-
D.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
E.
mayorAppointment
Indicates that one entity appoints or designates another entity to serve in the role of mayor.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 3, 2026, 4:04 p.m.