Triple
T32047833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDNY Engine 152 |
E818399
|
entity |
| Predicate | usesDispatchCenter |
P108411
|
FINISHED |
| Object | FDNY Staten Island dispatch |
—
|
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: FDNY Staten Island dispatch | Statement: [FDNY Engine 152, usesDispatchCenter, FDNY Staten Island dispatch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDispatchCenter Context triple: [FDNY Engine 152, usesDispatchCenter, FDNY Staten Island dispatch]
-
A.
hasDispatchCenter
chosen
Indicates that an entity is served, managed, or coordinated by a specific dispatch center.
-
B.
hasLoadCenters
Indicates that an entity is associated with one or more load centers that it supplies, serves, or manages.
-
C.
supportsCentralizedManagement
Indicates that one entity enables or facilitates centralized control, configuration, or administration of another entity or a set of entities.
-
D.
hasCentralSite
Indicates that an entity possesses or is associated with a primary or main site that serves as its central location or hub.
-
E.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:20 a.m.