Triple
T56952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padma Vibhushan |
E1125
|
entity |
| Predicate | dateOfFirstInvestitureCeremony |
P1161
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Padma Vibhushan, dateOfFirstInvestitureCeremony, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstInvestitureCeremony Context triple: [Padma Vibhushan, dateOfFirstInvestitureCeremony, 1954]
-
A.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
B.
firstCelebratedInYear
chosen
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
C.
reignStart
Indicates the date or point in time when an entity’s period of ruling or governing authority begins.
-
D.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
E.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.