Triple

T5948056
Position Surface form Disambiguated ID Type / Status
Subject Douala E132327 entity
Predicate hasAirportIATA P2569 FINISHED
Object DLA
DLA is the IATA airport code for Douala International Airport, the main air gateway to Douala, Cameroon.
 E557629 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: DLA | Statement: [Douala, hasAirportIATA, DLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLA
Context triple: [Douala, hasAirportIATA, DLA]
  • A. DLA
    DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
  • B. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • C. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • D. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • 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: DLA
Triple: [Douala, hasAirportIATA, DLA]
Generated description
DLA is the IATA airport code for Douala International Airport, the main air gateway to Douala, Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLA
Target entity description: DLA is the IATA airport code for Douala International Airport, the main air gateway to Douala, Cameroon.
  • A. DLA
    DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
  • B. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • C. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • D. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c08d4f0481908547609bc2736380 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 4:01 p.m.