Triple

T7794078
Position Surface form Disambiguated ID Type / Status
Subject Tezpur Airport E180252 entity
Predicate pushpinLabel P9248 FINISHED
Object TEZ E693965 NE 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: TEZ | Statement: [Tezpur Airport, pushpinLabel, TEZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEZ
Context triple: [Tezpur Airport, pushpinLabel, TEZ]
  • A. TEZ chosen
    TEZ is the IATA airport code for Tezpur Airport, a domestic airport serving the city of Tezpur in Assam, India.
  • B. TEB
    TEB is the IATA airport code for Teterboro Airport, a major general aviation and corporate jet airport serving the New York City metropolitan area in New Jersey.
  • C. YARN
    YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
  • D. Taze
    Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
  • E. Zeen
    Zeen was a web-based publishing tool that allowed users to easily create and share digital magazines and visual stories online.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae939c7388190b36d3e746be27a4d completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a0a34fc81908e7852ed0dbc377c completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:31 p.m.