Triple

T32108551
Position Surface form Disambiguated ID Type / Status
Subject Algapur E820052 entity
Predicate hasLowerHouseCountry P195862 FINISHED
Object Lok Sabha NE NERFINISHED

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: Lok Sabha | Statement: [Algapur, hasLowerHouseCountry, Lok Sabha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowerHouseCountry
Context triple: [Algapur, hasLowerHouseCountry, Lok Sabha]
  • A. hasUpperHouseCountry
    Indicates that a country possesses an upper house within its national legislative or parliamentary system.
  • B. hasLowerHouseSeats
    Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
  • C. hasSpeakerInLowerHouse
    Indicates that an entity serves as the presiding officer (speaker) of a specified lower house in a bicameral legislature.
  • D. haveUpperHouseRepresentationIn
    Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
  • E. hasLowerOffice
    Indicates that one office holds a position of lower rank or authority in relation to another office.
  • 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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdec5ffe088190ac5505f26c6cff18 completed May 8, 2026, 2 p.m.
PD Predicate disambiguation batch_69fdeae15f1c81908fc63fbc1b028d2e completed May 8, 2026, 1:53 p.m.
PDg Predicate description generation batch_69fdec5f0420819087c0230ad384c4ba completed May 8, 2026, 1:59 p.m.
Created at: May 1, 2026, 12:27 a.m.