Triple

T14289006
Position Surface form Disambiguated ID Type / Status
Subject Atuona E354258 entity
Predicate airportIATAcode P418 FINISHED
Object AUQ E1088998 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: AUQ | Statement: [Atuona, airportIATAcode, AUQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AUQ
Context triple: [Atuona, airportIATAcode, AUQ]
  • A. AUQ chosen
    AUQ is the IATA airport code for Hiva Oa Airport in the Marquesas Islands of French Polynesia.
  • B. AQ
    AQ is an Oracle Database feature that provides message-based communication and queuing capabilities for building asynchronous, distributed applications.
  • C. AQJ
    AQJ is the IATA airport code for King Hussein International Airport serving Aqaba, Jordan.
  • D. UAQ
    UAQ is the vehicle registration code used on license plates issued in the emirate of Umm Al Quwain in the United Arab Emirates.
  • E. AQN
    AQN is the station code for Lisbon Metro’s Antero de Quental station on the city’s urban rail network.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.