Triple
T13688924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Madre City Hall |
E328208
|
entity |
| Predicate | hasMunicipalDepartment |
P68320
|
FINISHED |
| Object | city manager’s office |
—
|
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: city manager’s office | Statement: [Sierra Madre City Hall, hasMunicipalDepartment, city manager’s office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalDepartment Context triple: [Sierra Madre City Hall, hasMunicipalDepartment, city manager’s office]
-
A.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
isMunicipalSectorOf
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
-
D.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
-
E.
cityDepartment
chosen
Indicates that one entity is a department that operates within, or is administratively part of, a particular city.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.