Triple
T25159275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child Protection – Information Sharing |
E626396
|
entity |
| Predicate | excludesData |
P159078
|
FINISHED |
| Object | detailed case conference minutes |
—
|
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: detailed case conference minutes | Statement: [Child Protection – Information Sharing, excludesData, detailed case conference minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesData Context triple: [Child Protection – Information Sharing, excludesData, detailed case conference minutes]
-
A.
excludesData
chosen
Indicates that one entity deliberately omits, leaves out, or does not include certain data associated with another entity.
-
B.
excludes
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
-
C.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
D.
excludesPrimary
Indicates that one entity explicitly omits or does not include another entity as its primary or main component, option, or classification.
-
E.
excludesFromEvidence
Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:31 a.m.