Triple

T23104127
Position Surface form Disambiguated ID Type / Status
Subject Tous Castle E576114 entity
Predicate hasViewOf P854 FINISHED
Object Sant Martí de Tous NE NERFINISHED

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: Sant Martí de Tous | Statement: [Tous Castle, hasViewOf, Sant Martí de Tous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Martí de Tous
Context triple: [Tous Castle, hasViewOf, Sant Martí de Tous]
  • A. Sant Martí de Tous chosen
    Sant Martí de Tous is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and historic castle.
  • B. Sant Martí Sarroca
    Sant Martí Sarroca is a historic municipality in Catalonia, Spain, known for its medieval castle and Romanesque church set amid the wine-producing landscape of the Alt Penedès region.
  • C. Sant Martí
    Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
  • D. Sant Martí Vell
    Sant Martí Vell is a small historic village in the Gironès region of Catalonia, Spain, known for its rural charm and traditional Catalan architecture.
  • E. Sant Martí Sesgueioles
    Sant Martí Sesgueioles is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and traditional Catalan setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deb702c819099f2e2141706f00e completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.