Triple
T9744123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram Sarabhai |
E236261
|
entity |
| Predicate | padmaBhushanYear |
P8111
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Vikram Sarabhai, padmaBhushanYear, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: padmaBhushanYear Context triple: [Vikram Sarabhai, padmaBhushanYear, 1966]
-
A.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
B.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
C.
rankInPakistanCivilAwards
Indicates the position or level an award holds within the hierarchy of Pakistan’s civil honors system.
-
D.
isHighestWartimeDistinguishedServiceDecorationOfIndia
Indicates that the subject is the highest-ranking wartime distinguished service decoration awarded in India.
-
E.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:23 p.m.