Triple

T22718468
Position Surface form Disambiguated ID Type / Status
Subject Arsamene E561795 entity
Predicate setInCity P7747 FINISHED
Object Susa (in the opera’s setting) 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: Susa (in the opera’s setting) | Statement: [Arsamene, setInCity, Susa (in the opera’s setting)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susa (in the opera’s setting)
Context triple: [Arsamene, setInCity, Susa (in the opera’s setting)]
  • A. Susa chosen
    Susa was an ancient city in southwestern Iran that served as a major political and administrative center for several empires, including the Achaemenid Persians.
  • B. Susa
    Susa is an ancient town in the Piedmont region of northwestern Italy, historically significant as a key Alpine gateway between Italy and France.
  • C. Susa
    Susa is a coastal town in northeastern Libya known for its ancient Greek and Roman archaeological remains and its location along the Mediterranean Sea.
  • D. Susa Valley
    Susa Valley is a major alpine valley in the Piedmont region of northwestern Italy, known for its historic towns, mountain passes, and ski resorts near the French border.
  • E. Susa railway station
    Susa railway station is a train station in the town of Susa in the Piedmont region of northwestern Italy, serving as a local rail hub in the Susa Valley.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790fbf9c819082ba7b48801a7b39 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.