Triple
T25237911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notting Hill race riots |
E632386
|
entity |
| Predicate | policeInvolved |
P126014
|
FINISHED |
| Object | Metropolitan Police |
—
|
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: Metropolitan Police | Statement: [Notting Hill race riots, policeInvolved, Metropolitan Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeInvolved Context triple: [Notting Hill race riots, policeInvolved, Metropolitan Police]
-
A.
lawEnforcementInvolved
chosen
Indicates that law enforcement authorities are actively involved in or responding to the situation or event described.
-
B.
constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
-
C.
hasAuthorityInvolved
Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
-
D.
hasStateInvolved
Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
-
E.
frontInvolved
Indicates that an entity is directly involved in or associated with the front (e.g., front line, front-facing part, or leading edge) of another entity or situation.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfc523c8190b61295b451d1e5cd |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:07 p.m.