Triple
T24390933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadereyta Jiménez |
E614886
|
entity |
| Predicate | hasGoverningOfficialTitle |
P18747
|
FINISHED |
| Object | municipal president |
—
|
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: municipal president | Statement: [Cadereyta Jiménez, hasGoverningOfficialTitle, municipal president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoverningOfficialTitle Context triple: [Cadereyta Jiménez, hasGoverningOfficialTitle, municipal president]
-
A.
hasChiefTitle
Indicates that an entity holds or is associated with a specific chief-level title or designation within an organization or group.
-
B.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
C.
hasLegislativeBodyTitle
Indicates the official title or designation used for the legislative body associated with an entity.
-
D.
governingHeadTitle
chosen
Indicates the official title held by the person who serves as the governing head of an entity (such as a country, organization, or institution).
-
E.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2945878b481909cca6def7b64b42c |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.