Triple

T5152496
Position Surface form Disambiguated ID Type / Status
Subject United Express E116228 entity
Predicate callsign P1565 FINISHED
Object UNITED E259065 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: UNITED | Statement: [United Express, callsign, UNITED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNITED
Context triple: [United Express, callsign, UNITED]
  • A. UNITED
    UNITED is the radio callsign used by pilots and air traffic control to identify and communicate with United Airlines flights.
  • B. United
    United is a common shorthand nickname for Leeds United F.C., the professional football club based in Leeds, West Yorkshire, England.
  • C. United chosen
    United is the airline callsign used by United Airlines, one of the largest major carriers in the United States.
  • D. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • E. UN
    UN is the vehicle registration code for the German town of Unna in the state of North Rhine-Westphalia.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.