Triple
T19993248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York's Boldest |
E494113
|
entity |
| Predicate | organizationTypeDescribed |
P84456
|
FINISHED |
| Object | municipal correctional agency |
—
|
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: municipal correctional agency | Statement: [New York's Boldest, organizationTypeDescribed, municipal correctional agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeDescribed Context triple: [New York's Boldest, organizationTypeDescribed, municipal correctional agency]
-
A.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
organizationDescribedBy
chosen
Indicates that an organization is characterized, detailed, or explained by a particular description or document.
-
C.
organizationTypeLed
Indicates that an entity holds a leadership role over an organization of a specified type.
-
D.
responsibleOrganizationType
Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
-
E.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.