Triple

T11111097
Position Surface form Disambiguated ID Type / Status
Subject WAW E262755 entity
Predicate associatedICAOCode P36333 FINISHED
Object EPWA E262756 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: EPWA | Statement: [WAW, associatedICAOCode, EPWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EPWA
Context triple: [WAW, associatedICAOCode, EPWA]
  • A. EPWA chosen
    EPWA is the ICAO airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • B. EMEAP
    EMEAP is a cooperative forum of central banks and monetary authorities from the East Asia-Pacific region that focuses on regional financial stability, policy dialogue, and collaboration.
  • C. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • D. ECPL
    ECPL is the acronym for the Eastern Cape Provincial Legislature, the legislative body governing South Africa’s Eastern Cape province.
  • E. Wukari Federation
    Wukari Federation is a historic Jukun traditional state in present-day Nigeria, known as a longstanding political and cultural center of the Jukun people.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.