Triple
T18982274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister’s Office (India) |
E464457
|
entity |
| Predicate | seniorPost |
P25714
|
FINISHED |
| Object | Principal Secretary to the Prime Minister 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: Principal Secretary to the Prime Minister of India | Statement: [Prime Minister’s Office (India), seniorPost, Principal Secretary to the Prime Minister of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seniorPost Context triple: [Prime Minister’s Office (India), seniorPost, Principal Secretary to the Prime Minister of India]
-
A.
turnedSenior
Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
-
B.
seniorRank
chosen
Indicates that one entity holds a higher or more senior rank or position than another entity.
-
C.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
D.
seniorPilot
Indicates that one pilot holds a higher rank, experience level, or supervisory role over another pilot within an aviation context.
-
E.
isTenuredPosition
Indicates that a position is a permanent academic or professional role typically protected from arbitrary dismissal.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.