Triple

T22401444
Position Surface form Disambiguated ID Type / Status
Subject Malindo Air E553770 entity
Predicate callsign P1565 FINISHED
Object MALINDO
MALINDO is the radio callsign used by Malindo Air, a Malaysian hybrid full-service airline operating domestic and international flights.
E1534379 NE FINISHED

How this triple was built (4 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: MALINDO | Statement: [Malindo Air, callsign, MALINDO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MALINDO
Context triple: [Malindo Air, callsign, MALINDO]
  • A. Masen
    Masen is the fictional surname of Edward Cullen from the Twilight series, used to refer to his human identity, Edward Anthony Masen.
  • B. Manduriani
    Manduriani are the inhabitants or natives of Manduria, a town in the Apulia region of southern Italy.
  • C. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • D. Malindangia
    Malindangia is a genus of birds in the cuckooshrike family Campephagidae, found in parts of Southeast Asia.
  • E. Malaya Muksalma
    Malaya Muksalma is a small island in Russia’s White Sea that forms part of the Solovetsky archipelago, known for its remote northern location and historical monastic connections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MALINDO
Triple: [Malindo Air, callsign, MALINDO]
Generated description
MALINDO is the radio callsign used by Malindo Air, a Malaysian hybrid full-service airline operating domestic and international flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MALINDO
Target entity description: MALINDO is the radio callsign used by Malindo Air, a Malaysian hybrid full-service airline operating domestic and international flights.
  • A. Masen
    Masen is the fictional surname of Edward Cullen from the Twilight series, used to refer to his human identity, Edward Anthony Masen.
  • B. Manduriani
    Manduriani are the inhabitants or natives of Manduria, a town in the Apulia region of southern Italy.
  • C. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • D. Malindangia
    Malindangia is a genus of birds in the cuckooshrike family Campephagidae, found in parts of Southeast Asia.
  • E. Malaya Muksalma
    Malaya Muksalma is a small island in Russia’s White Sea that forms part of the Solovetsky archipelago, known for its remote northern location and historical monastic connections.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cd35648190a37c9814c581749e completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea9aad5c81908fca5ea2b594effb completed May 18, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb4ce6d48190ac9281afb7b43391 completed May 18, 2026, 10:34 a.m.
Created at: April 16, 2026, 8:46 p.m.