Triple
T15207874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidhya Devi Bhandari |
E363435
|
entity |
| Predicate | reElectedOn |
P28286
|
FINISHED |
| Object | 2018-03-13 |
—
|
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: 2018-03-13 | Statement: [Bidhya Devi Bhandari, reElectedOn, 2018-03-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reElectedOn Context triple: [Bidhya Devi Bhandari, reElectedOn, 2018-03-13]
-
A.
reElectedToPresidency
Indicates that an individual, having previously served as president, is chosen again to hold the office of the presidency.
-
B.
reElectionOf
chosen
Indicates that an entity is being elected again to a position or office they have previously held.
-
C.
regainedPresidency
Indicates that an individual has returned to hold the office of president again after previously losing or leaving it.
-
D.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
E.
eligibleForReelectionAfter
Indicates that an individual is permitted, under the relevant rules or laws, to run again for a position or office after a specified time or condition is met.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:11 a.m.