Triple

T16804624
Position Surface form Disambiguated ID Type / Status
Subject Corendon Airlines Europe E408446 entity
Predicate headquartersLocation P62 FINISHED
Object Luqa E939948 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: Luqa | Statement: [Corendon Airlines Europe, headquartersLocation, Luqa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luqa
Context triple: [Corendon Airlines Europe, headquartersLocation, Luqa]
  • A. Luqa chosen
    Luqa is a village in the Central Region of Malta best known for hosting the island’s main international airport, Malta International Airport.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • D. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • E. Lasbela
    Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cb68508190a05749bad68f7b43 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79a96408190ab01ccd144f3fade completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:22 a.m.