Triple
T24620561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Emergency Medical Services |
E609399
|
entity |
| Predicate | includesProvider |
P156772
|
FINISHED |
| Object | FDNY EMS |
—
|
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 EMS | Statement: [New York City Emergency Medical Services, includesProvider, FDNY EMS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProvider Context triple: [New York City Emergency Medical Services, includesProvider, FDNY EMS]
-
A.
includesProviderType
Indicates that one entity’s set of provider types contains or covers the provider type associated with another entity.
-
B.
includesModuleProvider
Indicates that one entity contains or makes use of another entity that serves as a provider of a specific module or modular functionality.
-
C.
supportsProvider
Indicates that one entity provides assistance, resources, or endorsement to another entity acting in a provider role.
-
D.
includesServiceFor
Indicates that one entity’s offering or package contains or covers a particular service provided for another entity.
-
E.
isMajorProviderFor
Indicates that one entity serves as a primary or leading supplier or source of goods, services, or resources for 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.