Triple
T198384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharat Ratna |
E4046
|
entity |
| Predicate | notRestrictedToIndianCitizens |
P7029
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bharat Ratna, notRestrictedToIndianCitizens, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notRestrictedToIndianCitizens Context triple: [Bharat Ratna, notRestrictedToIndianCitizens, yes]
-
A.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
B.
religiousRestriction
Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or context.
-
C.
doesNotGenerallyApplyTo
chosen
Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
-
D.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
-
E.
commonInCountry
Indicates that something occurs frequently or is widespread within a specified country.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.