Triple

T9241234
Position Surface form Disambiguated ID Type / Status
Subject American Airlines Flight 77 E222062 entity
Predicate hasIATAFlightNumber P87736 FINISHED
Object AA77 E222062 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: AA77 | Statement: [American Airlines Flight 77, hasIATAFlightNumber, AA77]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AA77
Context triple: [American Airlines Flight 77, hasIATAFlightNumber, AA77]
  • A. AA77 chosen
    AA77 is the IATA flight number that designated American Airlines Flight 77, the Boeing 757 hijacked and crashed into the Pentagon during the September 11, 2001 terrorist attacks.
  • B. A705
    A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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: hasIATAFlightNumber
Context triple: [American Airlines Flight 77, hasIATAFlightNumber, AA77]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. ICAOFlightNumber
    Indicates that a specific ICAO-designated airline operates a particular flight identified by its ICAO flight number.
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. hasUnderlyingAirlineCallsign
    Indicates that an airline-related entity is associated with a specific underlying airline callsign used for identification in air traffic communications.
  • E. associatedWithIATAAirlineCode
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • F. None of above. chosen

Provenance (5 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ea9d90819096f9ca5321dffd56 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077e1ea448190a64a0371a412d314 completed April 4, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc95597be081908ece2491dd2f0f74 completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:30 p.m.