Triple

T20976463
Position Surface form Disambiguated ID Type / Status
Subject Merpati Nusantara Airlines E516638 entity
Predicate callsign P1565 FINISHED
Object MERPATI
MERPATI is the radio callsign used by Merpati Nusantara Airlines, a former Indonesian state-owned regional airline.
E1460308 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: MERPATI | Statement: [Merpati Nusantara Airlines, callsign, MERPATI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MERPATI
Context triple: [Merpati Nusantara Airlines, callsign, MERPATI]
  • A. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • B. Parinda
    Parinda is a critically acclaimed 1989 Indian crime drama film directed by Vidhu Vinod Chopra, widely regarded as a landmark in Hindi cinema for its gritty realism and performances.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Milang
    Milang is a small historic town in South Australia situated on the shores of Lake Alexandrina, known for its lakeside recreation and rural character.
  • E. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • 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: MERPATI
Triple: [Merpati Nusantara Airlines, callsign, MERPATI]
Generated description
MERPATI is the radio callsign used by Merpati Nusantara Airlines, a former Indonesian state-owned regional airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MERPATI
Target entity description: MERPATI is the radio callsign used by Merpati Nusantara Airlines, a former Indonesian state-owned regional airline.
  • A. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • B. Parinda
    Parinda is a critically acclaimed 1989 Indian crime drama film directed by Vidhu Vinod Chopra, widely regarded as a landmark in Hindi cinema for its gritty realism and performances.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Milang
    Milang is a small historic town in South Australia situated on the shores of Lake Alexandrina, known for its lakeside recreation and rural character.
  • E. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba3df2081908c1db5f8610ba43d completed April 21, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fbec34c819090f2a503633b7d3b completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a093063be9c8190869f4e680aa7bff5 completed May 17, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0930c7e674819087c0c53cfdd1697f completed May 17, 2026, 3:06 a.m.
Created at: April 16, 2026, 1:47 p.m.