Triple

T7872860
Position Surface form Disambiguated ID Type / Status
Subject Hyderabad-Karnataka E182779 entity
Predicate reservationProvision P79488 FINISHED
Object special reservation in education 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: special reservation in education | Statement: [Hyderabad-Karnataka, reservationProvision, special reservation in education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reservationProvision
Context triple: [Hyderabad-Karnataka, reservationProvision, special reservation in education]
  • A. reservationEstablished
    Indicates that a reservation has been successfully created and confirmed between the involved parties or systems.
  • B. reservationState
    Indicates the current status or phase of a reservation within its lifecycle (e.g., pending, confirmed, canceled, completed).
  • C. reservationSystem
    Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf786ec748190b6347b0c94335550 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:56 p.m.