Triple

T7273882
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (Dublin Airport) E162975 entity
Predicate operator P179 FINISHED
Object daa plc E153362 NE FINISHED

How this triple was built (2 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: daa plc | Statement: [Terminal 2 (Dublin Airport), operator, daa plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: daa plc
Context triple: [Terminal 2 (Dublin Airport), operator, daa plc]
  • A. daa chosen
    daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
  • B. DAA
    DAA is the IATA airport code for Davison Army Airfield, a U.S. Army aviation facility located at Fort Belvoir, Virginia.
  • C. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • D. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • E. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2936dc8190aed38888bb5e47b8 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.