Triple
T34877131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban telephone numbering plan |
E1005908
|
entity |
| Predicate | emergencyService106 |
P37309
|
FINISHED |
| Object | police |
—
|
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: police | Statement: [Cuban telephone numbering plan, emergencyService106, police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyService106 Context triple: [Cuban telephone numbering plan, emergencyService106, police]
-
A.
emergencyService
Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
-
B.
emergencyServiceDomain
Indicates that an entity operates within, is responsible for, or is specifically associated with the domain of emergency services (such as police, fire, or medical response).
-
C.
emergencyOffice
Indicates that an office or location serves as an emergency contact point or coordination center for urgent or crisis situations.
-
D.
emergencyServicesRegion
Indicates the geographic region within which specific emergency services are responsible for responding to incidents.
-
E.
emergencyPhoneNumber
chosen
Indicates that the object is a phone number designated for use in emergencies or urgent situations.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.