Triple
T27934097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 assault on Rihanna |
E708055
|
entity |
| Predicate | hasPoliceInvolvement |
P126014
|
FINISHED |
| Object | Los Angeles Police Department |
—
|
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: Los Angeles Police Department | Statement: [2009 assault on Rihanna, hasPoliceInvolvement, Los Angeles Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceInvolvement Context triple: [2009 assault on Rihanna, hasPoliceInvolvement, Los Angeles Police Department]
-
A.
lawEnforcementInvolved
chosen
Indicates that law enforcement authorities are actively involved in or responding to the situation or event described.
-
B.
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.
-
C.
hasAuthorityInvolved
Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
-
D.
hasPeopleInvolved
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
-
E.
hasCapitalInvolved
Indicates that a capital city is involved or plays a role in the specified relationship or event.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 7:04 p.m.