Triple
T19079086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Maharashtra |
E466978
|
entity |
| Predicate | qualifications |
P24944
|
FINISHED |
| Object | must be a citizen of India |
—
|
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: must be a citizen of India | Statement: [Governor of Maharashtra, qualifications, must be a citizen of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualifications Context triple: [Governor of Maharashtra, qualifications, must be a citizen of India]
-
A.
basisOfQualification
Indicates that something serves as the underlying reason, criterion, or evidence for a particular qualification or eligibility.
-
B.
providedQualificationFor
Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
-
C.
hasQualification
chosen
Indicates that an entity possesses a specific qualification, credential, or competency.
-
D.
influencesQualificationFor
Indicates that one factor or entity affects or alters another entity’s eligibility, suitability, or qualification for something.
-
E.
qualificationLeadsTo
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e82ec08190873186ff51e89d86 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.