Triple

T8005670
Position Surface form Disambiguated ID Type / Status
Subject Gimnàstic de Manresa E186357 entity
Predicate shortName P43 FINISHED
Object Nàstic Manresa E186358 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: Nàstic Manresa | Statement: [Gimnàstic de Manresa, shortName, Nàstic Manresa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nàstic Manresa
Context triple: [Gimnàstic de Manresa, shortName, Nàstic Manresa]
  • A. Maçanet-Massanes
    Maçanet-Massanes is a railway station and junction in Catalonia, Spain, serving as a key regional hub where several Rodalies de Catalunya and medium-distance lines converge.
  • B. Manresa chosen
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • C. Cerdanya
    Cerdanya is a historic region in the eastern Pyrenees, now divided between France and Spain, known for its mountainous landscapes and Catalan cultural heritage.
  • D. Sant Boi de Llobregat
    Sant Boi de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character, historical sites, and integration into the region’s public transport network.
  • E. Val Badia
    Val Badia is a valley in the Dolomites of northern Italy known for its Ladin-speaking communities, alpine landscapes, and ski tourism.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe127afe0819092d5ad0c430fadc4 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.