Triple

T7872967
Position Surface form Disambiguated ID Type / Status
Subject VEKU E182782 entity
Predicate associatedAirportState P75278 FINISHED
Object Assam E4843 NE FINISHED

How this triple was built (3 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: Assam | Statement: [VEKU, associatedAirportState, Assam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assam
Context triple: [VEKU, associatedAirportState, Assam]
  • A. Assam chosen
    Assam is a northeastern region of the Indian subcontinent known for its tea plantations, rich biodiversity, and distinct cultural heritage.
  • B. Tripura
    Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
  • C. Arunachal Pradesh
    Arunachal Pradesh is a northeastern Indian state known for its mountainous terrain, diverse indigenous cultures, and strategic location along the borders with China, Bhutan, and Myanmar.
  • D. West Bengal
    West Bengal is an eastern Indian state known for its cultural heritage, literature, and the metropolis of Kolkata (formerly Calcutta).
  • E. Meghalaya
    Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedAirportState
Context triple: [VEKU, associatedAirportState, Assam]
  • A. associatedAirportStateOrUT chosen
    Indicates that an airport is located within or linked to a specific state or union territory.
  • B. airportStatus
    Indicates the current operational condition or state of an airport (e.g., open, closed, delayed, restricted).
  • C. formerAirportStatus
    Indicates that an entity previously held the status of an airport but no longer functions as one.
  • D. associatedAirport
    Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
  • E. associatedWithAirportCode
    Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
  • F. None of above.

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.
NED1 Entity disambiguation (via context triple) batch_69ccbd5d671481908ecbdb8ce6ef898a completed April 1, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:56 p.m.