Triple
T22521481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Ward Center |
E556787
|
entity |
| Predicate | providesProgramsFor |
P132307
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [North Ward Center, providesProgramsFor, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesProgramsFor Context triple: [North Ward Center, providesProgramsFor, children]
-
A.
offeredFamilyOfPrograms
Indicates that an entity provides or makes available a specific family or group of related programs.
-
B.
offersProgramsFor
chosen
Indicates that one entity provides or makes available specific programs or courses intended for another entity.
-
C.
offersProgramsThrough
Indicates that one entity provides or delivers its programs, services, or courses by means of, or via the infrastructure or platform of, another entity.
-
D.
coordinatesProgramsOf
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
-
E.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.