Triple
T28231951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emergency Aid to the Elderly, Disabled and Children |
E711769
|
entity |
| Predicate | coversNeeds |
P129980
|
FINISHED |
| Object | food |
—
|
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: food | Statement: [Emergency Aid to the Elderly, Disabled and Children, coversNeeds, food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversNeeds Context triple: [Emergency Aid to the Elderly, Disabled and Children, coversNeeds, food]
-
A.
coversFrom
Indicates that one entity provides protection, concealment, or shelter for another entity against something originating from a specified source or direction.
-
B.
coversTo
Indicates that one entity extends its coverage or protective scope to include another entity.
-
C.
coverageRequirement
Indicates that one entity must provide or maintain a specified level or type of coverage (such as insurance, service, or protection) for another entity or context.
-
D.
meetsNeedOf
chosen
Indicates that one entity sufficiently fulfills or satisfies the requirement, demand, or expectation specified by another entity.
-
E.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of another 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 10:52 p.m.