Triple
T8578247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plantation Fire Department |
E203102
|
entity |
| Predicate | hasDispatchSystem |
P73206
|
FINISHED |
| Object | 911 emergency telephone number |
—
|
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 emergency telephone number | Statement: [Plantation Fire Department, hasDispatchSystem, 911 emergency telephone number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDispatchSystem Context triple: [Plantation Fire Department, hasDispatchSystem, 911 emergency telephone number]
-
A.
hasRegisterSystem
Indicates that an entity uses or is associated with a particular register system (e.g., a system for recording, tracking, or registering items, events, or participants).
-
B.
hasCommandSystem
chosen
Indicates that one entity possesses, uses, or is associated with a particular command or control system.
-
C.
hasMutationSystem
Indicates that one entity possesses or employs a particular mutation system or mechanism for generating or managing mutations.
-
D.
hasScheduler
Indicates that one entity is associated with, or managed by, a scheduling component or mechanism provided by another entity.
-
E.
hasAspectSystem
Indicates that an entity possesses or is associated with a particular aspect system, such as a structured set of characteristics, dimensions, or perspectives.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea989bec81909b8c8b4af7c568ff |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.