Triple
T20477608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajendra Singh |
E502359
|
entity |
| Predicate | officeAssumedAsSarsanghchalak |
P72481
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Rajendra Singh, officeAssumedAsSarsanghchalak, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedAsSarsanghchalak Context triple: [Rajendra Singh, officeAssumedAsSarsanghchalak, 1994]
-
A.
officeStartAsMinisterOfNativeAffairs
Indicates the point in time when an individual begins serving in the role of Minister of Native Affairs.
-
B.
startTimeAsSarsanghchalak
chosen
Indicates the point in time at which an individual began serving in the role of Sarsanghchalak.
-
C.
officeStart (Chief Minister of Uttar Pradesh)
Indicates the date or point in time when the person became the Chief Minister of Uttar Pradesh.
-
D.
officeEnd (Chief Minister of Uttar Pradesh)
Indicates the date or point in time when the person’s tenure as Chief Minister of Uttar Pradesh comes to an end.
-
E.
becamePracharakOf
Indicates that one entity assumed the role or position of a pracharak (propagator/missionary worker) associated with another entity, such as an organization or movement.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69966b9748190a5296d8ab03c07a1 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.