Triple
T1212798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bermuda Police Service |
E26038
|
entity |
| Predicate | policeNumber |
P25037
|
FINISHED |
| Object | 911 |
—
|
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: 911 | Statement: [Bermuda Police Service, policeNumber, 911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeNumber Context triple: [Bermuda Police Service, policeNumber, 911]
-
A.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
B.
officersCalled
Indicates that law enforcement officers were summoned or notified to respond to a situation or incident.
-
C.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
D.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
E.
hasPoliceStationsIn
Indicates that one entity possesses, manages, or contains one or more police stations located within the area or jurisdiction of another entity.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.