Triple
T12431773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihar Legislative Council |
E297046
|
entity |
| Predicate | memberRetirementPattern |
P45431
|
FINISHED |
| Object | One-third of members retire every two years |
—
|
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: One-third of members retire every two years | Statement: [Bihar Legislative Council, memberRetirementPattern, One-third of members retire every two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRetirementPattern Context triple: [Bihar Legislative Council, memberRetirementPattern, One-third of members retire every two years]
-
A.
retirementPattern
chosen
Indicates the typical way or schedule in which an entity withdraws from active service, work, or use.
-
B.
associatedWithRetirement
Indicates a relationship in which something is connected to, involved in, or relevant to the state, process, or context of retirement.
-
C.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
D.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
-
E.
forcedToRetire
Indicates that an entity was compelled, rather than choosing voluntarily, to end their professional role or career.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.