Triple

T17599353
Position Surface form Disambiguated ID Type / Status
Subject Salento E428653 entity
Predicate contains P35 FINISHED
Object Galatina 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: Galatina | Statement: [Salento, contains, Galatina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galatina
Context triple: [Salento, contains, Galatina]
  • A. Galatina chosen
    Galatina is a historic town in Italy’s Apulia region, known for its Baroque architecture and cultural traditions, including the famous tarantism ritual.
  • B. Latiano
    Latiano is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
  • C. Gallaeci
    The Gallaeci were an ancient Celtic people who inhabited the northwestern Iberian Peninsula, in what is now mainly Galicia and northern Portugal, known for their distinctive tribal organization and resistance to Roman conquest.
  • D. Galia
    Galia is a diminutive form of the female given name Galina, commonly used in Slavic languages.
  • E. Oscan language
    The Oscan language was an extinct Italic language once spoken by the Samnites and other peoples of southern Italy, closely related to Latin and Umbrian.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c474e5481909d2736241b592dab completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.