Triple

T4184830
Position Surface form Disambiguated ID Type / Status
Subject Nadi–Singapore E88284 entity
Predicate hasIATACodeForEndpoint P2569 FINISHED
Object SIN
SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
 E418863 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: SIN | Statement: [Nadi–Singapore, hasIATACodeForEndpoint, SIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIN
Context triple: [Nadi–Singapore, hasIATACodeForEndpoint, SIN]
  • A. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • B. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • C. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • D. The Sin
    The Sin is a landmark 1965 Egyptian drama film directed by Henry Barakat, renowned for its stark portrayal of rural poverty and oppression and for featuring one of Faten Hamama’s most powerful performances.
  • E. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • 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: SIN
Triple: [Nadi–Singapore, hasIATACodeForEndpoint, SIN]
Generated description
SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIN
Target entity description: SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • A. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • B. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • C. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • D. The Sin
    The Sin is a landmark 1965 Egyptian drama film directed by Henry Barakat, renowned for its stark portrayal of rural poverty and oppression and for featuring one of Faten Hamama’s most powerful performances.
  • E. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0b2db368819080c1d652b4acfd0c completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fe4b508190a1c5a1d426245ede completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58a64e67081909d9c03c8f92b4f7e completed March 14, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69b58aeb4f848190aa8d8511c3b63eaa completed March 14, 2026, 4:20 p.m.
Created at: March 9, 2026, 3:45 p.m.