Triple

T17279712
Position Surface form Disambiguated ID Type / Status
Subject Strada Statale 115 E419489 entity
Predicate connectsCity P4245 FINISHED
Object Agrigento E55843 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: Agrigento | Statement: [Strada Statale 115, connectsCity, Agrigento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrigento
Context triple: [Strada Statale 115, connectsCity, Agrigento]
  • A. Akragas chosen
    Akragas was an important ancient Greek city on the southern coast of Sicily, renowned for its wealth, powerful status, and monumental temples.
  • B. Gela
    Gela is a river in southern Sicily, Italy, that flows into the Mediterranean Sea near the city of Gela.
  • C. Gela
    Gela is a mountain village in the Rhodope Mountains of southern Bulgaria, known for its scenic landscapes and traditional Bulgarian culture.
  • D. Gela
    Gela is an ancient Greek colonial city on the southern coast of Sicily that was a significant center of Magna Graecia.
  • E. Gela
    Gela is an Oceanic language spoken primarily in the Solomon Islands, particularly on Nggela (Florida) Islands in Central Province.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179513ffc81908bac515823e88a1a completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.