Triple

T20764356
Position Surface form Disambiguated ID Type / Status
Subject Taʻū (village) E511054 entity
Predicate hasISO3166-2Code P208 FINISHED
Object AS 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: AS | Statement: [Taʻū (village), hasISO3166-2Code, AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AS
Context triple: [Taʻū (village), hasISO3166-2Code, AS]
  • A. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • B. AS
    AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
  • C. AS
    AS is the abbreviation for the Faculty of Applied Sciences at Delft University of Technology, a leading Dutch institution focused on research and education in fields such as physics, chemistry, life sciences, and nanotechnology.
  • D. AS
    AS is the vehicle registration code used on license plates for the Amberg-Sulzbach district in Bavaria, Germany.
  • E. AS chosen
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24b18b8819082e61104be6f83a3 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.