Triple
T25481334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcalde de Las Palmas de Gran Canaria |
E638582
|
entity |
| Predicate | genderOfOfficeTitle |
P78769
|
FINISHED |
| Object | masculine form "alcalde" and feminine form "alcaldesa" |
—
|
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: masculine form "alcalde" and feminine form "alcaldesa" | Statement: [Alcalde de Las Palmas de Gran Canaria, genderOfOfficeTitle, masculine form "alcalde" and feminine form "alcaldesa"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderOfOfficeTitle Context triple: [Alcalde de Las Palmas de Gran Canaria, genderOfOfficeTitle, masculine form "alcalde" and feminine form "alcaldesa"]
-
A.
officeHolderTitleWhenFemale
Indicates the specific title used for a person holding an office when that office holder is female.
-
B.
officeHolderTitleWhenMale
Indicates the specific title used for a person holding an office when that office holder is male.
-
C.
hasGenderedTitle
Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
-
D.
honorificGender
chosen
Indicates that a particular honorific or title is associated with a specific gender or gendered form.
-
E.
successorTitleGender
Indicates the gender associated with the person who succeeds another in a given title or position.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77658dc8190975f60eb762b25d5 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:31 p.m.