Triple

T23253522
Position Surface form Disambiguated ID Type / Status
Subject MVR E581801 entity
Predicate IATA code for P2569 FINISHED
Object Salak Airport
Salak Airport is a public airport serving the city of Maroua in the Far North Region of Cameroon.
E1576913 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: Salak Airport | Statement: [MVR, IATA code for, Salak Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salak Airport
Context triple: [MVR, IATA code for, Salak Airport]
  • A. Pangsuma Airport
    Pangsuma Airport is a regional airport serving the town of Putussibau in West Kalimantan, Indonesia.
  • B. Mutiara Airport
    Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
  • C. Jumandy Airport
    Jumandy Airport is a regional airport serving the city of Tena and the surrounding Amazonian area in Ecuador.
  • D. Tari Airport
    Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
  • E. Tjilik Riwut Airport
    Tjilik Riwut Airport is a public airport serving Palangka Raya in Central Kalimantan, Indonesia, functioning as a key regional hub for passenger and cargo air traffic.
  • 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: Salak Airport
Triple: [MVR, IATA code for, Salak Airport]
Generated description
Salak Airport is a public airport serving the city of Maroua in the Far North Region of Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salak Airport
Target entity description: Salak Airport is a public airport serving the city of Maroua in the Far North Region of Cameroon.
  • A. Pangsuma Airport
    Pangsuma Airport is a regional airport serving the town of Putussibau in West Kalimantan, Indonesia.
  • B. Mutiara Airport
    Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
  • C. Jumandy Airport
    Jumandy Airport is a regional airport serving the city of Tena and the surrounding Amazonian area in Ecuador.
  • D. Tari Airport
    Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
  • E. Tjilik Riwut Airport
    Tjilik Riwut Airport is a public airport serving Palangka Raya in Central Kalimantan, Indonesia, functioning as a key regional hub for passenger and cargo air traffic.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f9d904819097315c9bf031f667 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6a050c81908242087190a5a42e completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.