Triple
T27594656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodhpur Lok Sabha constituency |
E699861
|
entity |
| Predicate | previousMPFromElectionYear |
P70716
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Jodhpur Lok Sabha constituency, previousMPFromElectionYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMPFromElectionYear Context triple: [Jodhpur Lok Sabha constituency, previousMPFromElectionYear, 2009]
-
A.
previousMPStartYear
Indicates the year in which the subject’s immediately preceding term as a Member of Parliament began.
-
B.
previousElectionYear
chosen
Indicates the year in which the immediately preceding election for the same office, position, or body took place.
-
C.
currentMPFromElectionYear
Indicates that a person is the current Member of Parliament as a result of an election held in the specified year.
-
D.
previousMP
Indicates that one entity served as a Member of Parliament for a given constituency or position immediately before another specified entity.
-
E.
previousRepresentativeParty
Indicates that a given party previously served as the representative party for another entity before the current representative was in place.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 27, 2026, 2:06 p.m.