Triple
T9314304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | youth offending teams |
E224079
|
entity |
| Predicate | statutoryPartner |
P68813
|
FINISHED |
| Object | police |
E349234
|
NE 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: police | Statement: [youth offending teams, statutoryPartner, police]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: police Context triple: [youth offending teams, statutoryPartner, police]
-
A.
Police
chosen
The police are a civil force empowered by the state to maintain public order, enforce laws, and prevent, detect, and investigate crime.
-
B.
Police
Police is a town in northwestern Poland, located in the West Pomeranian Voivodeship near Szczecin.
-
C.
national police
The national police of Niger is the country’s primary civilian law enforcement body responsible for maintaining public order, enforcing laws, and ensuring internal security.
-
D.
POLIS
POLIS is the Department of Politics and International Studies at the University of Cambridge, a leading centre for research and teaching in politics, international relations, and related fields.
-
E.
Met Police
Met Police is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b2274481908ddb4eda70cea8cc |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.