Triple
T5764476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka Prefectural Police |
E127175
|
entity |
| Predicate | policeSystem |
P66239
|
FINISHED |
| Object | Japanese prefectural police system |
—
|
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: Japanese prefectural police system | Statement: [Fukuoka Prefectural Police, policeSystem, Japanese prefectural police system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeSystem Context triple: [Fukuoka Prefectural Police, policeSystem, Japanese prefectural police system]
-
A.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
B.
policeNumber
Indicates that an entity is associated with a specific police-related identification or reference number.
-
C.
policeUnit
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
-
D.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
E.
policesCity
Indicates that one entity is responsible for providing law enforcement or policing services within a particular city.
- F. None of above. chosen
Provenance (4 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:49 p.m.