Triple

T15800199
Position Surface form Disambiguated ID Type / Status
Subject Clipper Maid of the Seas E383077 entity
Predicate registration P3328 FINISHED
Object N739PA E383078 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: N739PA | Statement: [Clipper Maid of the Seas, registration, N739PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N739PA
Context triple: [Clipper Maid of the Seas, registration, N739PA]
  • A. N739PA chosen
    N739PA was the Boeing 747-121 named "Clipper Maid of the Seas" that operated as Pan Am Flight 103, which was destroyed in the 1988 Lockerbie bombing.
  • B. N744VG
    N744VG is the registration of Cosmic Girl, a modified Boeing 747-400 aircraft used by Virgin Orbit as an air-launch platform for orbital rockets.
  • C. KAI Commuter
    KAI Commuter is an Indonesian railway company that operates commuter rail services in the Greater Jakarta area and surrounding regions.
  • D. B79
    B79 is a designated route number for a major regional highway in New South Wales, Australia.
  • E. Mitsubishi CRJ700
    The Mitsubishi CRJ700 is a regional jet airliner designed for short- to medium-haul routes, commonly used by regional carriers around the world.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e135b08190b736e77bac5e2bff completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b2fd148190b3819d7c41505d52 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.