Triple

T21732909
Position Surface form Disambiguated ID Type / Status
Subject Torre Troyana E536451 entity
Predicate namedAfter P63 FINISHED
Object Troyana family 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: Troyana family | Statement: [Torre Troyana, namedAfter, Troyana family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troyana family
Context triple: [Torre Troyana, namedAfter, Troyana family]
  • A. Troyana family chosen
    The Troyana family was a prominent Italian noble lineage historically associated with the ownership and patronage of the medieval Torre Troyana in Asti.
  • B. Turnesa family
    The Turnesa family is a prominent American golfing dynasty known for producing multiple professional golfers across several generations.
  • C. Terradas family
    The Terradas family was a prominent Catalan bourgeois family in early 20th-century Barcelona, known for commissioning notable Modernisme works such as Casa de les Punxes.
  • D. Tursi family
    The Tursi family is a prominent noble lineage from Genoa, Italy, historically influential in the city’s political and social life.
  • E. Rommely family
    The Rommely family is a fictional immigrant family of strong-willed, working-class characters in Betty Smith’s novel "A Tree Grows in Brooklyn."
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd085eec81908b3df82bc25a8780 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.