Triple

T15744356
Position Surface form Disambiguated ID Type / Status
Subject Esenboğa International Airport E381682 entity
Predicate hasIATACode P2569 FINISHED
Object ESB E381682 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: ESB | Statement: [Esenboğa International Airport, hasIATACode, ESB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESB
Context triple: [Esenboğa International Airport, hasIATACode, ESB]
  • A. ESB chosen
    ESB is the IATA airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
  • B. ESB
    ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
  • C. AquaLogic Enterprise Service Bus
    AquaLogic Enterprise Service Bus is a middleware platform that enables integration and orchestration of services and applications within a service-oriented architecture (SOA).
  • D. ES-IB
    ES-IB is the ISO 3166-2 code representing the Spanish Balearic Islands province that includes Formentera.
  • E. ESW
    ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502c0c3c8190b8e512df307039c1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876b7fd081909d84ebe7a4cdb675 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.