Triple

T19277321
Position Surface form Disambiguated ID Type / Status
Subject Roman Sicily E482090 entity
Predicate importantCity P3940 FINISHED
Object Syracuse NE NERFINISHED

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: Syracuse | Statement: [Roman Sicily, importantCity, Syracuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse
Context triple: [Roman Sicily, importantCity, Syracuse]
  • A. Syracuse
    Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
  • B. Syracuse chosen
    Syracuse is an ancient and historically significant city on the eastern coast of Sicily, renowned as a powerful Greek colony and cultural center in antiquity.
  • C. Syracuse
    Syracuse is a suburban city in Davis County, northern Utah, known for its rapid growth and proximity to the Great Salt Lake and Antelope Island.
  • D. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • E. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbd5f34819086535f28fd880411 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:30 p.m.