Triple

T729736
Position Surface form Disambiguated ID Type / Status
Subject Sardinia E14804 entity
Predicate largestCity P235 FINISHED
Object Cagliari E80741 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: Cagliari | Statement: [Sardinia, largestCity, Cagliari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cagliari
Context triple: [Sardinia, largestCity, Cagliari]
  • A. Cagliari chosen
    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.
  • B. Alghero
    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.
  • C. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • D. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • E. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c290e481908497430a05dbfb90 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac598bddf88190afc565deec2357a1 completed March 7, 2026, 4:59 p.m.
Created at: March 1, 2026, 7:37 p.m.