Triple

T16042380
Position Surface form Disambiguated ID Type / Status
Subject Mar Bella area E389128 entity
Predicate locatedInDistrict P40 FINISHED
Object Sant Martí E873723 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: Sant Martí | Statement: [Mar Bella area, locatedInDistrict, Sant Martí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Martí
Context triple: [Mar Bella area, locatedInDistrict, Sant Martí]
  • A. Sant Martí chosen
    Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
  • B. 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.
  • C. Sant Pere
    Sant Pere is a historic neighborhood in central Barcelona, known for its medieval streets, cultural landmarks, and proximity to the city’s old town.
  • D. Sant Pere Màrtir
    Sant Pere Màrtir is a notable religious landmark in the Catalan city of Manresa, recognized for its historical and cultural significance in the region.
  • E. 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.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1834130208190a4ed1e4292b8f2df completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd95d508190a21db435fb69f8d7 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.