Triple
T1517748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauhati University |
E32158
|
entity |
| Predicate | chancellorRole |
P325
|
FINISHED |
| Object | Governor of Assam |
—
|
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 Assam | Statement: [Gauhati University, chancellorRole, Governor of Assam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chancellorRole Context triple: [Gauhati University, chancellorRole, Governor of Assam]
-
A.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
B.
chancellorPower
Indicates that an entity holds the authoritative executive or administrative powers associated with the role of chancellor over another entity or domain.
-
C.
hasChancellor
chosen
Indicates that an entity holds the position or role of chancellor for another entity.
-
D.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
-
E.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.