Triple

T19629434
Position Surface form Disambiguated ID Type / Status
Subject Ochus E471225 entity
Predicate capitalDuringReign P9119 FINISHED
Object Susa 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 | Statement: [Ochus, capitalDuringReign, Susa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susa
Context triple: [Ochus, capitalDuringReign, 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. 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. 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.
  • E. Arsanjan
    Arsanjan is a small city in southern Iran known for its agricultural activities and location within the historical and culturally rich Fars region.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.