Triple
T4762497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra Legislative Assembly |
E105728
|
entity |
| Predicate | fullFormOfMLA |
P2351
|
FINISHED |
| Object | Member of Legislative Assembly |
—
|
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: Member of Legislative Assembly | Statement: [Maharashtra Legislative Assembly, fullFormOfMLA, Member of Legislative Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullFormOfMLA Context triple: [Maharashtra Legislative Assembly, fullFormOfMLA, Member of Legislative Assembly]
-
A.
hasFullForm
chosen
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
B.
degreeStructureForms
Indicates that a particular degree is organized or constituted according to a specified structural framework or format.
-
C.
hasFirstWordOfExpandedForm
Indicates that one entity is the first word in the fully expanded (non-abbreviated) form of another entity.
-
D.
expandedForm
Indicates that one representation is the expanded or fully written-out form of another, typically decomposing it into a sum or more detailed expression.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.