Triple
T22394895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet Minister of India |
E553603
|
entity |
| Predicate | mustBeOrBecomeWithin |
P37634
|
FINISHED |
| Object | Member of Parliament within six months |
—
|
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: Member of Parliament within six months | Statement: [Cabinet Minister of India, mustBeOrBecomeWithin, Member of Parliament within six months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeOrBecomeWithin Context triple: [Cabinet Minister of India, mustBeOrBecomeWithin, Member of Parliament within six months]
-
A.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
B.
holderMustBe
Indicates that a specified entity is required to be the holder or possessor of another entity or resource.
-
C.
mustBeUsed
Indicates that one entity is required or obligated to be utilized or applied in relation to another entity or context.
-
D.
mustGrant
Indicates that one party is obligated to give or allow something (such as a right, permission, or resource) to another party.
-
E.
mustActIn
chosen
Indicates that an entity is required or obligated to perform an action within a specified context, domain, or timeframe.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.