Triple

T11413170
Position Surface form Disambiguated ID Type / Status
Subject Hippocrates of Gela E270422 entity
Predicate expandedControlOver P64448 FINISHED
Object Zancle E54818 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: Zancle | Statement: [Hippocrates of Gela, expandedControlOver, Zancle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zancle
Context triple: [Hippocrates of Gela, expandedControlOver, Zancle]
  • A. Zancle chosen
    Zancle was an ancient Greek city in Sicily, known later as Messana (modern Messina), and was one of the key colonies of Magna Graecia.
  • 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. Amantea
    Amantea is a coastal town in the Calabria region of southern Italy, known for its historic center, medieval fortifications, and beaches along the Tyrrhenian Sea.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f12fcc1f2481908423370681dc869e completed April 28, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:34 p.m.