Triple

T10745089
Position Surface form Disambiguated ID Type / Status
Subject Zankle E253429 entity
Predicate hasNameInLatin P9999 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: [Zankle, hasNameInLatin, Zancle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zancle
Context triple: [Zankle, hasNameInLatin, 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 an ancient Greek colonial city on the southern coast of Sicily that was a significant center of Magna Graecia.
  • C. Gela
    Gela is an Oceanic language spoken primarily in the Solomon Islands, particularly on Nggela (Florida) Islands in Central Province.
  • D. 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.
  • E. Vibo Valentia
    Vibo Valentia is a coastal city in southern Italy known for its historic center, ancient Greek and Roman archaeological sites, and proximity to the Tyrrhenian Sea in the Calabria region.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b77c4881909d16c6e82a9b86ca completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.