Triple

T582686
Position Surface form Disambiguated ID Type / Status
Subject Gujarat E15090 entity
Predicate hasLegislatureType P15791 FINISHED
Object unicameral 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: unicameral | Statement: [Gujarat, hasLegislatureType, unicameral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegislatureType
Context triple: [Gujarat, hasLegislatureType, unicameral]
  • A. hasLegislativePower
    Indicates that an entity possesses the authority to create, amend, or repeal laws within a given jurisdiction or governing framework.
  • B. typeOfLegislation
    Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
  • C. coLegislatureWith
    Indicates that two legislative bodies share lawmaking authority within the same political system or jurisdiction.
  • D. legislativeBodyOf
    Indicates that one entity is the official legislative body (lawmaking assembly) of another entity, typically a political unit such as a country, state, or city.
  • E. languageOfLegislature
    Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c9315c8190a773e8e00737d8a0 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985a2d08819090947895d9439e06 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.