Triple

T20466588
Position Surface form Disambiguated ID Type / Status
Subject Anthering E502065 entity
Predicate countryCode P208 FINISHED
Object AT NE NERFINISHED

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: AT | Statement: [Anthering, countryCode, AT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT
Context triple: [Anthering, countryCode, AT]
  • A. AT
    AT was the former stock ticker symbol under which the U.S. wireless telecommunications company Alltel was publicly traded.
  • B. AT chosen
    AT is the two-letter ISO 3166-1 alpha-2 country code representing Austria.
  • C. AT
    AT is the chassis designation used by the Scuderia AlphaTauri Formula One team for its race cars.
  • D. AT
    AT is the commonly used abbreviation and public-facing brand name for Auckland Transport, the agency responsible for managing Auckland’s transport services and infrastructure.
  • E. ATT
    ATT is a telecommunications-related entity associated with the General Agreement on Tariffs and Trade (GATT), likely serving as a framework or mechanism within international trade and communications regulation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.