Triple
T247473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padma Bhushan |
E5068
|
entity |
| Predicate | higherAward |
P1463
|
FINISHED |
| Object | Bharat Ratna |
E4046
|
NE 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: Bharat Ratna | Statement: [Padma Bhushan, higherAward, Bharat Ratna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bharat Ratna Context triple: [Padma Bhushan, higherAward, Bharat Ratna]
-
A.
Bharat Ratna
chosen
Bharat Ratna is India’s highest civilian award, conferred for exceptional service or performance of the highest order in any field of human endeavor.
-
B.
Padma Vibhushan
The Padma Vibhushan is India’s second-highest civilian award, conferred for exceptional and distinguished service in any field.
-
C.
Padma Bhushan
The Padma Bhushan is one of India’s highest civilian honors, awarded by the Government of India for distinguished service of a high order in any field.
-
D.
Ashoka Chakra
The Ashoka Chakra is a 24-spoked navy-blue wheel symbolizing righteousness, progress, and the eternal cycle of life, prominently featured at the center of the Indian national flag.
-
E.
Padma awards
The Padma awards are among India’s highest civilian honors, recognizing exceptional contributions in various fields such as arts, literature, science, public service, and social work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36cf64798819096218d320b00a3a9 |
completed | Feb. 28, 2026, 10:32 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.