Triple
T22634310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kailash Nath Katju |
E558637
|
entity |
| Predicate | swornInAs |
P42496
|
FINISHED |
| Object | Governor of West Bengal in 1948 |
—
|
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: Governor of West Bengal in 1948 | Statement: [Kailash Nath Katju, swornInAs, Governor of West Bengal in 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swornInAs Context triple: [Kailash Nath Katju, swornInAs, Governor of West Bengal in 1948]
-
A.
sworeInAs
Indicates that one entity formally administered or participated in the official oath-taking that installed another entity into an office, role, or position.
-
B.
swornInOn
chosen
Indicates that an individual formally assumes an office, role, or duty by taking an official oath on a specified date, occasion, or object.
-
C.
swornInAsSenatorBy
Indicates that one person formally administers the oath of office to another person, thereby officially installing them as a senator.
-
D.
wasAppointed
Indicates that an entity has been officially assigned or designated to a position, role, or office by an authority or decision-making body.
-
E.
administersOathTo
Indicates that one entity formally gives or conducts an oath that another entity takes.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700be10c8190830393fdbec1033d |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:03 p.m.