Triple
T8704027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Constabulary |
E206600
|
entity |
| Predicate | secondaryAreaOfOperation |
P62593
|
FINISHED |
| Object | urban areas of the Philippines |
—
|
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: urban areas of the Philippines | Statement: [Philippine Constabulary, secondaryAreaOfOperation, urban areas of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryAreaOfOperation Context triple: [Philippine Constabulary, secondaryAreaOfOperation, urban areas of the Philippines]
-
A.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
B.
secondaryHub
Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
-
C.
secondaryMissionField
chosen
Indicates a secondary or supporting operational area or objective associated with the primary mission.
-
D.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
E.
secondaryActivity
Indicates that an entity engages in an additional, non-primary activity or role alongside its main activity.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.