Triple
T2034631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community Enterprise Clinic |
E44594
|
entity |
| Predicate | typeOfOrganizationServed |
P2193
|
FINISHED |
| Object | startups |
—
|
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: startups | Statement: [Community Enterprise Clinic, typeOfOrganizationServed, startups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOrganizationServed Context triple: [Community Enterprise Clinic, typeOfOrganizationServed, startups]
-
A.
categoryOfPeopleServed
Indicates the type or group of people that are the primary recipients or beneficiaries of a service or activity.
-
B.
professionServed
Indicates that an entity has performed work or provided services in a particular profession or occupational role.
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
responsibleOrganizationType
Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
-
E.
sectorServed
chosen
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93387488190ac9d8d2746451f2e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.