Triple

T22005355
Position Surface form Disambiguated ID Type / Status
Subject Midway E543436 entity
Predicate hasCountryCode P189 FINISHED
Object GB 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: GB | Statement: [Midway, hasCountryCode, GB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GB
Context triple: [Midway, hasCountryCode, GB]
  • A. GB chosen
    GB is the ISO 3166-1 alpha-2 country code for the United Kingdom of Great Britain and Northern Ireland.
  • B. GB
    GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • C. GB
    GB is the common abbreviation for Gençlerbirliği S.K., a professional football club based in Ankara, Turkey.
  • D. GB
    GB is the regional code for Gilgit-Baltistan, a mountainous administrative territory in northern Pakistan known for its high peaks and strategic location.
  • E. GBL
    GBL is the commonly used abbreviation for the Greek Basket League, the top professional basketball league in Greece.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276d81e4819083a40e51249e7fd7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:21 p.m.