Triple

T11627423
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Palermo E276306 entity
Predicate contains P35 FINISHED
Object Terrasini E921337 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: Terrasini | Statement: [Metropolitan City of Palermo, contains, Terrasini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrasini
Context triple: [Metropolitan City of Palermo, contains, Terrasini]
  • A. Terrasini chosen
    Terrasini is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its beaches, fishing traditions, and proximity to Palermo’s airport.
  • B. Tordino
    Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
  • C. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • D. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • E. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef135cde4881908d1cf9f752592d60 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.