Triple

T15002273
Position Surface form Disambiguated ID Type / Status
Subject Bettona E374118 entity
Predicate locatedNear P294 FINISHED
Object Deruta E497692 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: Deruta | Statement: [Bettona, locatedNear, Deruta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deruta
Context triple: [Bettona, locatedNear, Deruta]
  • A. Deruta chosen
    Deruta is an Italian town in Umbria renowned for its centuries-old tradition of high-quality artistic ceramics and pottery.
  • B. Pragelato
    Pragelato is an Italian alpine village in the Piedmont region, known as a winter sports destination and former Olympic venue within the Via Lattea ski area.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. Petritoli
    Petritoli is a historic hilltop town in Italy’s Marche region, known for its medieval architecture, panoramic countryside views, and well-preserved old center.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969e2d888190afbb9c8fd8a707c8 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.