Triple
T24118363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Fallin |
E597581
|
entity |
| Predicate | communityServiceAt |
P47326
|
FINISHED |
| Object | child advocacy office |
—
|
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: child advocacy office | Statement: [Nicholas Fallin, communityServiceAt, child advocacy office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityServiceAt Context triple: [Nicholas Fallin, communityServiceAt, child advocacy office]
-
A.
communityService
chosen
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
-
B.
sharesCommunityServices
Indicates that two or more entities use, provide, or are served by the same community-based services or facilities.
-
C.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
D.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
E.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee091c48190a55d36f28c332749 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:05 p.m.