Triple

T10755257
Position Surface form Disambiguated ID Type / Status
Subject Futuna Island E253673 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object WF E194383 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: WF | Statement: [Futuna Island, ISO3166-1Alpha2, WF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WF
Context triple: [Futuna Island, ISO3166-1Alpha2, WF]
  • A. WF
    WF is the common abbreviation for Windows Workflow Foundation, a Microsoft technology for building workflow-enabled applications within the .NET framework.
  • B. WF chosen
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • C. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • D. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9d0f688190a9be024929d2f960 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2338b2cc8190ad40ff9a421a4152 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:15 p.m.