Triple

T8222739
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Airlines E192102 entity
Predicate callsign P1565 FINISHED
Object SHANGHAI AIR E192102 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: SHANGHAI AIR | Statement: [Shanghai Airlines, callsign, SHANGHAI AIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHANGHAI AIR
Context triple: [Shanghai Airlines, callsign, SHANGHAI AIR]
  • A. Air Busan
    Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
  • B. Shanghai Airlines chosen
    Shanghai Airlines is a Chinese airline based in Shanghai that operates domestic and international passenger flights as a subsidiary of China Eastern Airlines.
  • C. CP Air
    CP Air was a major Canadian airline that operated international and domestic routes from the mid-20th century until its merger into Canadian Airlines in the 1980s.
  • D. Air Seoul
    Air Seoul is a South Korean low-cost airline based in Seoul that operates regional flights across East Asia.
  • E. China Eastern Airlines
    China Eastern Airlines is a major Chinese airline based in Shanghai that operates extensive domestic and international routes as one of the country’s largest carriers.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cae2948190ae4507b75b5d5784 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee09ac548190a9988ff77d43e77e completed April 1, 2026, 10:06 a.m.
Created at: March 30, 2026, 5:45 p.m.