Triple
T35396708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hathin Assembly constituency |
E1023097
|
entity |
| Predicate | representationInAssembly |
P99832
|
FINISHED |
| Object | One MLA |
—
|
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 MLA | Statement: [Hathin Assembly constituency, representationInAssembly, One MLA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationInAssembly Context triple: [Hathin Assembly constituency, representationInAssembly, One MLA]
-
A.
representedInAssembly
Indicates that something is included, depicted, or formally present within a particular assembly or gathering.
-
B.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
C.
stateAssemblyRepresentation
chosen
Indicates that an entity serves as a representative or holds a seat in a state legislative assembly for a specified constituency or jurisdiction.
-
D.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
E.
representedInNationalAssembly
Indicates that an entity has official representation or a seat in a country's national legislative assembly.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:03 p.m.