Triple

T2422510
Position Surface form Disambiguated ID Type / Status
Subject TAP Air Portugal E53449 entity
Predicate ICAOcode P419 FINISHED
Object TAP
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
E265113 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: TAP | Statement: [TAP Air Portugal, ICAOcode, TAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAP
Context triple: [TAP Air Portugal, ICAOcode, TAP]
  • A. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • B. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • C. Tap
    Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
  • D. Tip and Tap
    Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
  • E. t_P
    t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • 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: TAP
Triple: [TAP Air Portugal, ICAOcode, TAP]
Generated description
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TAP
Target entity description: TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
  • A. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • B. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • C. Tap
    Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
  • D. Tip and Tap
    Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
  • E. t_P
    t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc972934481909e05bd6f31162f9d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5b1bb8819095920d702c180d3f completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec338adf481908492b99d6e949bf8 completed March 9, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_69aec3d410048190b908e883442b4ac2 completed March 9, 2026, 12:57 p.m.
Created at: March 6, 2026, 9:42 p.m.