Triple
T2921251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcaldía Tláhuac |
E78728
|
entity |
| Predicate | hasMunicipalPolice |
P13246
|
FINISHED |
| Object | local public security body of Tláhuac |
—
|
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: local public security body of Tláhuac | Statement: [Alcaldía Tláhuac, hasMunicipalPolice, local public security body of Tláhuac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalPolice Context triple: [Alcaldía Tláhuac, hasMunicipalPolice, local public security body of Tláhuac]
-
A.
hasPoliceDepartment
chosen
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
D.
hasPoliceStationsIn
Indicates that one entity possesses, manages, or contains one or more police stations located within the area or jurisdiction of another entity.
-
E.
hasPoliceHeadquarters
Indicates that a location serves as the main administrative headquarters for a police organization.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:54 p.m.