Triple

T37115168
Position Surface form Disambiguated ID Type / Status
Subject Sahar E919096 entity
Predicate airportTerminalArea P187163 FINISHED
Object Terminal 2 vicinity of Chhatrapati Shivaji Maharaj International Airport 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: Terminal 2 vicinity of Chhatrapati Shivaji Maharaj International Airport | Statement: [Sahar, airportTerminalArea, Terminal 2 vicinity of Chhatrapati Shivaji Maharaj International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airportTerminalArea
Context triple: [Sahar, airportTerminalArea, Terminal 2 vicinity of Chhatrapati Shivaji Maharaj International Airport]
  • A. nearbyAirportTerminal
    Indicates that one airport terminal is located close to another airport terminal in physical space.
  • B. airportStation
    Indicates a location functions as an airport facility where air transport operations occur.
  • C. westTerminalStation
    Indicates that a station serves as the western terminal (end point) of a route, line, or service.
  • D. hubAirport
    Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
  • E. terminusAAirport
    Indicates that an airport serves as the terminal (end) point for a specified air route or service.
  • 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_69f76e9c57148190ba789dd059645bb9 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb344c60f8819090f2e21e1e61d621 completed May 6, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69fb2f642db08190b562725502c74ea6 completed May 6, 2026, 12:09 p.m.
PDg Predicate description generation batch_69fb344ba5408190a6fe8face293d88b completed May 6, 2026, 12:30 p.m.
Created at: May 3, 2026, 4:15 p.m.