Triple
T19519706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal police |
E488370
|
entity |
| Predicate | hasSpecialUnit |
P1198
|
FINISHED |
| Object | traffic division |
—
|
NE NERFINISHED |
How this triple was built (3 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: traffic division | Statement: [Montreal police, hasSpecialUnit, traffic division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: traffic division Context triple: [Montreal police, hasSpecialUnit, traffic division]
-
A.
Traffic division
The Traffic Division is a specialized unit of the Fairfax County General District Court that handles cases involving traffic violations and related motor vehicle offenses.
-
B.
Traffic Division
The Traffic Division is a specialized branch of the Philadelphia Municipal Court that handles cases involving traffic violations and related motor vehicle offenses within the city.
-
C.
Traffic Division
The Traffic Division is a specialized branch of the Provincial Court of British Columbia that handles cases involving motor vehicle and traffic-related offences.
-
D.
Traffic Division
The Traffic Division is a specialized unit of the Superior Court of California, County of Orange that handles cases involving traffic infractions, citations, and related motor vehicle violations.
-
E.
Traffic Division
The Traffic Division is a specialized unit within the Liberia National Police responsible for regulating road traffic, enforcing traffic laws, and promoting road safety across the country.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: traffic division Target entity description: The traffic division is a specialized unit within the Montreal police responsible for enforcing traffic laws, managing road safety, and responding to traffic-related incidents.
-
A.
Traffic division
The Traffic Division is a specialized unit of the Fairfax County General District Court that handles cases involving traffic violations and related motor vehicle offenses.
-
B.
Traffic Division
The Traffic Division is a specialized branch of the Philadelphia Municipal Court that handles cases involving traffic violations and related motor vehicle offenses within the city.
-
C.
Traffic Division
The Traffic Division is a specialized branch of the Provincial Court of British Columbia that handles cases involving motor vehicle and traffic-related offences.
-
D.
Traffic Division
The Traffic Division is a specialized unit of the Superior Court of California, County of Orange that handles cases involving traffic infractions, citations, and related motor vehicle violations.
-
E.
Traffic Division
The Traffic Division is a specialized unit within the Liberia National Police responsible for regulating road traffic, enforcing traffic laws, and promoting road safety across the country.
- F. None of above. chosen
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.