Triple

T8989822
Position Surface form Disambiguated ID Type / Status
Subject Khazraj E214759 entity
Predicate hadConflictWith P437 FINISHED
Object Aws E214758 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: Aws | Statement: [Khazraj, hadConflictWith, Aws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aws
Context triple: [Khazraj, hadConflictWith, Aws]
  • A. Aws chosen
    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.
  • B. AWS
    AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
  • C. 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.
  • D. AWST
    AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
  • E. Amazon Web Services
    Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687205c88190a4cdf12ee2cdfd14 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb92ebf4819092b7ee94af16064b completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:04 p.m.