Triple
T198373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharat Ratna |
E4046
|
entity |
| Predicate | posthumousAwardsSuspendedInYear |
P8138
|
FINISHED |
| Object | 1955 |
—
|
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: 1955 | Statement: [Bharat Ratna, posthumousAwardsSuspendedInYear, 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posthumousAwardsSuspendedInYear Context triple: [Bharat Ratna, posthumousAwardsSuspendedInYear, 1955]
-
A.
canBeAwardedPosthumously
Indicates that something (such as an honor, title, or award) is eligible to be granted to a person after their death.
-
B.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
goldenSpikesAwardYear
Indicates the year in which a Golden Spikes Award was given or associated with a particular recipient or event.
-
E.
isPosthumous
Indicates that something occurs, is created, or is conferred after the death of the person to whom it relates.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.