Triple

T11192184
Position Surface form Disambiguated ID Type / Status
Subject Pannawonica E264828 entity
Predicate abbreviation P43 FINISHED
Object AWST E51816 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: AWST | Statement: [Pannawonica, abbreviation, AWST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWST
Context triple: [Pannawonica, abbreviation, AWST]
  • A. AWST chosen
    AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
  • B. Aws
    Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
  • C. AWS
    AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
  • D. AWS
    AWS (Solidarity Electoral Action) was a Polish political coalition formed in the early 1990s that brought together post-Solidarity groups to contest democratic elections after the fall of communism.
  • E. AWS Snowmobile
    AWS Snowmobile is a massive data transfer service that uses secure, truck-sized storage containers to physically move extremely large volumes of data into the AWS cloud.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496ff48448190982d4477039a13d8 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.