Triple
T3856763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Orizaba |
E90034
|
entity |
| Predicate | hasMunicipalPresident |
P185
|
FINISHED |
| Object | municipal president of Orizaba |
—
|
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 of Orizaba | Statement: [Municipality of Orizaba, hasMunicipalPresident, municipal president of Orizaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalPresident Context triple: [Municipality of Orizaba, hasMunicipalPresident, municipal president of Orizaba]
-
A.
hasMayor
chosen
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
hasCityManager
Indicates that an entity has a specific individual who serves in the role of city manager for it.
-
C.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
D.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
E.
hasBoroughPresident
Indicates that a borough is associated with a specific individual who serves as its president or chief elected official.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec09312c81908ffd7441c83730c8 |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.