Triple

T11413330
Position Surface form Disambiguated ID Type / Status
Subject Province of Foggia E270426 entity
Predicate contains P35 FINISHED
Object San Severo E433782 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: San Severo | Statement: [Province of Foggia, contains, San Severo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Severo
Context triple: [Province of Foggia, contains, San Severo]
  • A. San Severo chosen
    San Severo is a historic town in the Apulia region of southern Italy, known for its agricultural production, wine, and religious festivals.
  • B. Serenno
    Serenno is a wealthy, aristocratic planet in the Star Wars universe, known as the ancestral seat of Count Dooku and a center of noble power and influence.
  • C. Sulzano
    Sulzano is a small Italian town in Lombardy known for its picturesque location on the eastern shore of Lake Iseo and as the mainland access point to Monte Isola.
  • D. San Leonardo
    San Leonardo is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
  • E. Monteveglio
    Monteveglio is a small historic town in the Emilia-Romagna region of northern Italy, known for its medieval architecture and surrounding hilly countryside.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.