Triple
T38271942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSJDM |
E1021232
|
entity |
| Predicate | localGovernmentCode |
P47979
|
FINISHED |
| Object | PH-BUL-SanJoseDelMonte |
—
|
NE NERFINISHED |
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: PH-BUL-SanJoseDelMonte | Statement: [CSJDM, localGovernmentCode, PH-BUL-SanJoseDelMonte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localGovernmentCode Context triple: [CSJDM, localGovernmentCode, PH-BUL-SanJoseDelMonte]
-
A.
hasLocalGovernmentCode
Indicates that an entity is associated with a specific code assigned by a local government authority for identification or administrative purposes.
-
B.
localGovernmentAreaOf
Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
-
C.
hasLocalGovernmentAreaCode
chosen
Indicates that an entity is associated with a specific local government area identified by a particular code.
-
D.
districtCode
Indicates that an entity is associated with, or identified by, a specific administrative district code.
-
E.
hasLocalGovernmentAreaCodeType
Indicates the type or classification of the local government area code associated with an entity.
- 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:30 p.m.