Triple

T1511330
Position Surface form Disambiguated ID Type / Status
Subject Detroit Metropolitan Wayne County Airport E32019 entity
Predicate alsoKnownAs P39 FINISHED
Object DTW
DTW is the IATA airport code for Detroit Metropolitan Wayne County Airport, a major international hub serving the Detroit, Michigan metropolitan area.
E172408 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: DTW | Statement: [Detroit Metropolitan Wayne County Airport, alsoKnownAs, DTW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DTW
Context triple: [Detroit Metropolitan Wayne County Airport, alsoKnownAs, DTW]
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • C. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • D. DBDT
    DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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: DTW
Triple: [Detroit Metropolitan Wayne County Airport, alsoKnownAs, DTW]
Generated description
DTW is the IATA airport code for Detroit Metropolitan Wayne County Airport, a major international hub serving the Detroit, Michigan metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DTW
Target entity description: DTW is the IATA airport code for Detroit Metropolitan Wayne County Airport, a major international hub serving the Detroit, Michigan metropolitan area.
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • C. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • D. DBDT
    DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad233e6e748190929b3f339cc9bd4b completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23e279e88190ae341af34ea98487 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad24f7d8b081909241ab3995172f4d completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:26 p.m.