Triple

T12648459
Position Surface form Disambiguated ID Type / Status
Subject Temple of Concordia E302091 entity
Predicate municipality P852 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: [Temple of Concordia, municipality, Agrigento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrigento
Context triple: [Temple of Concordia, municipality, 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 an ancient Greek colonial city on the southern coast of Sicily that was a significant center of Magna Graecia.
  • D. Gela
    Gela is an Oceanic language spoken primarily in the Solomon Islands, particularly on Nggela (Florida) Islands in Central Province.
  • E. Leontini
    Leontini was an ancient Greek city in eastern Sicily, known as a Chalcidian colony and a frequent player in the island’s classical-era conflicts.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30fba90819096ea71152ed725e1 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 5:17 p.m.