Triple

T2437133
Position Surface form Disambiguated ID Type / Status
Subject EVA Air E52986 entity
Predicate callsign P1565 FINISHED
Object EVA E265985 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: EVA | Statement: [EVA Air, callsign, EVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EVA
Context triple: [EVA Air, callsign, EVA]
  • A. EVA chosen
    EVA is the ICAO airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
  • B. Eva
    Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
  • C. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • D. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • E. Electryon
    Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ad31b8819084813b65b46bc9fc completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.