Triple

T17599352
Position Surface form Disambiguated ID Type / Status
Subject Salento E428653 entity
Predicate contains P35 FINISHED
Object Maglie 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: Maglie | Statement: [Salento, contains, Maglie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maglie
Context triple: [Salento, contains, Maglie]
  • A. Maglie chosen
    Maglie is a historic town in Italy’s Apulia region, known for its Baroque architecture and role as a commercial and cultural center in the Salento area.
  • B. Scarf
    Scarf is a long piece of fabric worn around the neck, head, or shoulders for warmth, sun protection, cleanliness, fashion, or religious reasons.
  • C. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • D. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • E. Remera
    Remera is a bustling neighborhood in Kigali, Rwanda, known for its major sports and events venues, busy commercial areas, and proximity to the international airport.
  • 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.