Triple

T17294223
Position Surface form Disambiguated ID Type / Status
Subject Shush E419862 entity
Predicate hasArchaeologicalFeature P33395 FINISHED
Object Ville Royale (Susa) E86185 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: Ville Royale (Susa) | Statement: [Shush, hasArchaeologicalFeature, Ville Royale (Susa)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ville Royale (Susa)
Context triple: [Shush, hasArchaeologicalFeature, Ville Royale (Susa)]
  • 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. Ecbatana
    Ecbatana is an ancient city, traditionally identified with the capital of the Median Empire in northwestern Iran, known from classical sources and biblical texts.
  • D. Arsanjan
    Arsanjan is a small city in southern Iran known for its agricultural activities and location within the historical and culturally rich Fars region.
  • E. 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.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d66bb8819086eb2c72b4dcbafb completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.