Triple
T8639344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padma Shri |
E204602
|
entity |
| Predicate | rankInIndia |
P8750
|
FINISHED |
| Object | one of the highest civilian honours 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: one of the highest civilian honours of India | Statement: [Padma Shri, rankInIndia, one of the highest civilian honours of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInIndia Context triple: [Padma Shri, rankInIndia, one of the highest civilian honours of India]
-
A.
rankByLengthInIndia
Indicates an ordering of items based on their length specifically within the context or boundaries of India.
-
B.
rankWithinBritishIndia
Indicates the relative hierarchical position or status an entity held within the administrative, military, or social ranking system of British India.
-
C.
rankInIndiaCivilianHonours
chosen
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
D.
rankInIndianOrderOfPrecedence
Indicates the formal position or level an office or individual holds within the official Indian Order of Precedence hierarchy.
-
E.
populationRankInWestBengal
Indicates the relative position of an entity in terms of population size compared to other entities within West Bengal.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.