Triple

T11414188
Position Surface form Disambiguated ID Type / Status
Subject Mid West E270446 entity
Predicate containsTown P847 FINISHED
Object Perenjori E925902 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: Perenjori | Statement: [Mid West, containsTown, Perenjori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perenjori
Context triple: [Mid West, containsTown, Perenjori]
  • A. Perenjori chosen
    Perenjori is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding agricultural district.
  • B. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • C. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8d6392881908fd33d340f3334e7 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:34 p.m.