Triple

T10880415
Position Surface form Disambiguated ID Type / Status
Subject N591UA E256904 entity
Predicate tailNumber P5244 FINISHED
Object N591UA E256904 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: N591UA | Statement: [N591UA, tailNumber, N591UA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N591UA
Context triple: [N591UA, tailNumber, N591UA]
  • A. N591UA chosen
    N591UA was the Boeing 757-222 aircraft operated by United Airlines that was hijacked and crashed in Pennsylvania during the September 11, 2001 terrorist attacks as Flight 93.
  • B. N612UA
    N612UA was the Boeing 767-200ER aircraft operated by United Airlines that was hijacked and crashed into the South Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
  • C. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • D. N571X
    N571X is the registration number assigned to NASA’s experimental X-57 Maxwell electric aircraft.
  • E. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.