Triple

T19998451
Position Surface form Disambiguated ID Type / Status
Subject Other Backward Classes E494255 entity
Predicate reservationPercentage P138287 FINISHED
Object 27% in central government jobs and educational institutions 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: 27% in central government jobs and educational institutions | Statement: [Other Backward Classes, reservationPercentage, 27% in central government jobs and educational institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reservationPercentage
Context triple: [Other Backward Classes, reservationPercentage, 27% in central government jobs and educational institutions]
  • A. reservedSeatPercentageInHouses
    Indicates the proportion of seats in legislative houses that are formally reserved for specific groups or categories.
  • B. reservationProvision
    Indicates that one entity provides, allocates, or sets aside a reservation (such as a booked resource, service slot, or capacity) for another entity.
  • C. reservationSize
    Indicates the number of people or units included in a reservation.
  • D. reservationPolicy
    Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
  • E. reservationStatus
    Indicates the current state or condition of a reservation within its lifecycle (e.g., pending, confirmed, canceled, completed).
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69e537fd311881908448f2aea8b4812e completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 11, 2026, 3:32 p.m.