Triple

T14953911
Position Surface form Disambiguated ID Type / Status
Subject Cyrus I E372870 entity
Predicate region P40 FINISHED
Object Persis E132292 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: Persis | Statement: [Cyrus I, region, Persis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persis
Context triple: [Cyrus I, region, Persis]
  • A. Persis chosen
    Persis is the ancient region in southwestern Iran that served as the core homeland and power base of the Persian people and early Persian empires.
  • B. Persis
    Persis is the given name of Persis Khambatta, an Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • C. Iliou Persis
    Iliou Persis is an ancient Greek epic poem, now lost, that narrated the sack and destruction of Troy as part of the wider Trojan cycle.
  • D. Ionia
    Ionia was an ancient region on the central western coast of Anatolia, famed as a cradle of Greek philosophy, science, and poetry.
  • E. Mygdonia
    Mygdonia was an ancient historical region in northern Greece, located in what is now central Macedonia near Thessaloniki.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9c71cc8190aff9165a6f97981a completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.