Triple

T3402619
Position Surface form Disambiguated ID Type / Status
Subject Aniene E71691 entity
Predicate flowsThrough P225 FINISHED
Object Subiaco E153943 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: Subiaco | Statement: [Aniene, flowsThrough, Subiaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subiaco
Context triple: [Aniene, flowsThrough, Subiaco]
  • A. Subiaco chosen
    Subiaco is a town in central Italy best known as the birthplace of Western monasticism and the site of several historic Benedictine monasteries.
  • B. Kurrajong
    Kurrajong is an electorate of the Australian Capital Territory Legislative Assembly that covers central Canberra and surrounding suburbs.
  • C. Blacktown
    Blacktown is a major suburban city and commercial hub in Western Sydney, New South Wales, Australia.
  • D. Parramatta
    Parramatta is a major commercial and cultural centre in Western Sydney, Australia, known for its historic sites, diverse community, and role as a secondary CBD of the Sydney metropolitan area.
  • E. Mortlake
    Mortlake is a riverside suburb in Sydney, Australia, known for its location on the Parramatta River and mix of residential and light industrial areas.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e78ec8819089417666dc29f412 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.