Triple

T15814486
Position Surface form Disambiguated ID Type / Status
Subject Mosteiro de Santa Maria da Vitória E383439 entity
Predicate locatedIn P40 FINISHED
Object Batalha E374154 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: Batalha | Statement: [Mosteiro de Santa Maria da Vitória, locatedIn, Batalha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batalha
Context triple: [Mosteiro de Santa Maria da Vitória, locatedIn, Batalha]
  • A. Batalha chosen
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • B. Batalden
    Batalden is a small island in Vestland county, Norway, known for its coastal scenery and traditional fishing community.
  • C. Bataille
    Bataille is a French surname most famously associated with Georges Bataille, the influential 20th-century writer and philosopher known for his work on eroticism, transgression, and the sacred.
  • D. Bitwa
    "Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
  • E. Kampen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a1571881909488728f123865ad completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9993c86c8190b1d106af7537080a completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.