Triple
T524139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Ground Foundation |
E10880
|
entity |
| Predicate | typeOfSupportProvided |
P936
|
FINISHED |
| Object | mentoring programs |
—
|
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: mentoring programs | Statement: [Common Ground Foundation, typeOfSupportProvided, mentoring programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupportProvided Context triple: [Common Ground Foundation, typeOfSupportProvided, mentoring programs]
-
A.
typeOfSupport
chosen
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
B.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
C.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
D.
guidanceType
Indicates the specific kind or category of guidance being provided or referenced in the relationship between entities.
-
E.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.