Triple

T7875645
Position Surface form Disambiguated ID Type / Status
Subject Prättigau/Davos Region E182843 entity
Predicate hasSkiResort P1981 FINISHED
Object Madrisa E182848 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: Madrisa | Statement: [Prättigau/Davos Region, hasSkiResort, Madrisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madrisa
Context triple: [Prättigau/Davos Region, hasSkiResort, Madrisa]
  • A. Madrisa chosen
    Madrisa is a popular alpine mountain and ski area in the Swiss Alps near Davos, known for its family-friendly slopes and scenic hiking trails.
  • B. Madrasah of Granada
    The Madrasah of Granada was a medieval Islamic college in Granada, Spain, serving as an important center of higher learning during the Nasrid period.
  • C. El Azbakeya
    El Azbakeya is a historic district in central Cairo known for its cultural landmarks, markets, and longstanding role as an urban hub of the city.
  • D. Saffarin Madrasa
    Saffarin Madrasa is a historic Islamic educational institution in Fez, Morocco, renowned as one of the city’s oldest madrasas and an important example of Marinid-era architecture.
  • E. Lucena yeshiva
    Lucena yeshiva was a prominent medieval Talmudic academy in al-Andalus that became an important center of Jewish legal scholarship and rabbinic leadership.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b79705c8190955e128081048ebe completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:57 p.m.