Triple

T15819447
Position Surface form Disambiguated ID Type / Status
Subject Polytechnic School of Lugo E383565 entity
Predicate locatedIn P40 FINISHED
Object Lugo E191706 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: Lugo | Statement: [Polytechnic School of Lugo, locatedIn, Lugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugo
Context triple: [Polytechnic School of Lugo, locatedIn, Lugo]
  • A. Lugo
    Lugo is a historic town and municipality in the Emilia-Romagna region of northern Italy, known for its medieval center and the imposing Rocca Estense fortress.
  • B. Lugo chosen
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • C. Solitano
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • D. Lugos
    Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • E. Montegallo
    Montegallo is a small mountainous municipality in Italy’s Marche region, known for its scenic Apennine landscapes and traditional rural character.
  • 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_69e0c4a6e6748190acb0791bd465587f completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13392c48190b03cbed9df5a32a6 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.