Triple
T34505368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihar Lok Sabha constituencies |
E885868
|
entity |
| Predicate | representationPurpose |
P79
|
FINISHED |
| Object | representation of people of Bihar in national legislature |
—
|
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: representation of people of Bihar in national legislature | Statement: [Bihar Lok Sabha constituencies, representationPurpose, representation of people of Bihar in national legislature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationPurpose Context triple: [Bihar Lok Sabha constituencies, representationPurpose, representation of people of Bihar in national legislature]
-
A.
secretPurpose
Indicates that an entity has an underlying goal, intention, or function that is deliberately concealed or not openly disclosed.
-
B.
entryPurpose
Indicates the reason or intended use for which an entity is being entered, accessed, or recorded in a given context.
-
C.
tagPurpose
Indicates the intended role, function, or use associated with a given tag in a particular context.
-
D.
purpose
chosen
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
E.
encodingPurpose
Indicates the reason or intended use for which an encoding is created or applied.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 2:01 a.m.