Triple

T14325859
Position Surface form Disambiguated ID Type / Status
Subject Catalan culture E355213 entity
Predicate hasRegion P285 FINISHED
Object Alghero E35427 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: Alghero | Statement: [Catalan culture, hasRegion, Alghero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alghero
Context triple: [Catalan culture, hasRegion, Alghero]
  • A. Alghero chosen
    Alghero is a coastal city in northwestern Sardinia, Italy, known for its well-preserved medieval old town, strong Catalan cultural and linguistic heritage, and popular seaside tourism.
  • B. Sassari
    Sassari is a major city and provincial capital in northern Sardinia, Italy, known for its historic center, university, and cultural traditions.
  • C. Cagliari
    Cagliari is the capital city of the Italian island of Sardinia, known for its historic architecture, Mediterranean harbor, and role as a key political and cultural center in the region.
  • D. Tortolì
    Tortolì is a coastal town and popular tourist destination on the eastern coast of Sardinia, Italy, known for its beaches and proximity to Arbatax.
  • E. Messina
    Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06f22148190a750a012397b2c68 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:13 a.m.