Triple
T35456854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurmukh Nihal Singh |
E1024797
|
entity |
| Predicate | inceptionAsChiefMinisterOfDelhi |
P183310
|
FINISHED |
| Object | 1952 |
—
|
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: 1952 | Statement: [Gurmukh Nihal Singh, inceptionAsChiefMinisterOfDelhi, 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsChiefMinisterOfDelhi Context triple: [Gurmukh Nihal Singh, inceptionAsChiefMinisterOfDelhi, 1952]
-
A.
succeededByAsChiefMinisterOfDelhi
Indicates that one person directly followed another in holding the position of Chief Minister of Delhi.
-
B.
precededByAsChiefMinisterOfDelhi
Indicates that one individual previously held the position of Chief Minister of Delhi immediately before another individual.
-
C.
termEndAsChiefMinisterOfDelhi
Indicates the time period during which an individual’s tenure serving as the Chief Minister of Delhi comes to an end.
-
D.
wasInOfficeAsChiefMinisterOfHaryana
Indicates that a person held and served in the position of Chief Minister of the Indian state of Haryana during a specified period.
-
E.
appointedAsGovernorOfKerala
Indicates that an entity has been formally appointed to the position of Governor of the state of Kerala.
- F. None of above. chosen
Provenance (4 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.