Triple

T11390004
Position Surface form Disambiguated ID Type / Status
Subject N’Dolo Airport E269810 entity
Predicate IATAcode P418 FINISHED
Object NLO
NLO is the IATA airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
 E923492 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: NLO | Statement: [N’Dolo Airport, IATAcode, NLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NLO
Context triple: [N’Dolo Airport, IATAcode, NLO]
  • A. NOL
    NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • B. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • C. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • D. NUOL
    NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
  • E. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • 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: NLO
Triple: [N’Dolo Airport, IATAcode, NLO]
Generated description
NLO is the IATA airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NLO
Target entity description: NLO is the IATA airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
  • A. NOL
    NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • B. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • C. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • D. NUOL
    NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
  • E. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.