Triple
T7515397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Assam |
E177625
|
entity |
| Predicate | appointedForFixedTerm |
P77409
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Governor of Assam, appointedForFixedTerm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedForFixedTerm Context triple: [Governor of Assam, appointedForFixedTerm, yes]
-
A.
hasFixedTermElections
Indicates that elections for a given office or body occur at predetermined, regular intervals rather than being called flexibly or at variable times.
-
B.
parliamentaryTerm
Indicates the specific legislative session or fixed period of time during which a parliament is formally in office and exercises its authority.
-
C.
parliamentaryTermType
Indicates the specific category or classification of a parliamentary term within a legislative or governmental context.
-
D.
isUsuallyElectedFor
Indicates that an entity typically attains a position, role, or office through an election process.
-
E.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f44dd48190b2b093aab9a196c8 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:45 p.m.