Triple

T6165984
Position Surface form Disambiguated ID Type / Status
Subject Sant Martí de Tous E137559 entity
Predicate locatedIn P40 FINISHED
Object Anoia E250810 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: Anoia | Statement: [Sant Martí de Tous, locatedIn, Anoia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anoia
Context triple: [Sant Martí de Tous, locatedIn, Anoia]
  • A. Anoia chosen
    Anoia is a comarca (county) in central Catalonia, Spain, known for its mix of industrial towns and rural landscapes, with Igualada as its capital.
  • B. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • C. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • D. Berchidda
    Berchidda is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • E. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6366948190b35ef44dd9d6fcd6 completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.