Triple
T16282839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virendra Sharma |
E395311
|
entity |
| Predicate | electedForConstituencySince |
P34331
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Virendra Sharma, electedForConstituencySince, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedForConstituencySince Context triple: [Virendra Sharma, electedForConstituencySince, 2007]
-
A.
representedInParliamentSince
chosen
Indicates that an entity has held representation in a parliament continuously from a specified starting time.
-
B.
servedInParliamentFor
Indicates that a person held a parliamentary seat as a representative of a specified constituency, region, or jurisdiction.
-
C.
parliamentaryConstituencyRepresented
Indicates the relationship in which a person or entity serves as the elected representative for a specific parliamentary constituency.
-
D.
hasMemberOfParliament
Indicates that an entity is represented by a specific individual serving as its Member of Parliament.
-
E.
formerMPStartYear
Indicates the year in which an individual began their period of service as a former Member of Parliament (i.e., the start year of their tenure as an MP).
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24911f11881909c98ddf829f077e9 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.