Triple
T35434691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana María Hidalgo Aleu |
E1024168
|
entity |
| Predicate | termAsMayor |
P31629
|
FINISHED |
| Object | second term began 2020 |
—
|
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: second term began 2020 | Statement: [Ana María Hidalgo Aleu, termAsMayor, second term began 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsMayor Context triple: [Ana María Hidalgo Aleu, termAsMayor, second term began 2020]
-
A.
termEndAsMayor
Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
-
B.
numberOfTermsAsMayor
chosen
Indicates the number of distinct terms an individual has served in the role of mayor.
-
C.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
D.
formerMayor
Indicates that the subject once held the position of mayor of the object entity but no longer does.
-
E.
cityMayor
Indicates that one entity serves as the mayor (chief elected municipal official) of the city represented by the other entity.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.