Triple

T17599357
Position Surface form Disambiguated ID Type / Status
Subject Salento E428653 entity
Predicate contains P35 FINISHED
Object Tricase 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: Tricase | Statement: [Salento, contains, Tricase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricase
Context triple: [Salento, contains, Tricase]
  • A. Tricase chosen
    Tricase is a town in the Salento area of southern Italy, known for its historic center, coastal hamlets on the Adriatic Sea, and traditional Apulian culture.
  • B. Urmond
    Urmond is a village in the Dutch province of Limburg, situated along the Juliana Canal near the River Meuse.
  • C. Marine City
    Marine City is a modern high-rise waterfront district in Busan, South Korea, known for its luxury apartments, striking skyline, and scenic views near Haeundae Beach.
  • D. Marine City
    Marine City is a visionary megastructure concept by Japanese Metabolist architect Kiyonori Kikutake, proposing a self-contained, floating urban habitat designed to address overpopulation and land scarcity.
  • E. Blountstown
    Blountstown is a small city in Florida’s Panhandle that serves as the county seat of Calhoun County.
  • 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.