Triple

T13817748
Position Surface form Disambiguated ID Type / Status
Subject Media E332060 entity
Predicate borderedBy P224 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: [Media, borderedBy, Persis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persis
Context triple: [Media, borderedBy, 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0281bb988190803ee195f430b9c8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e1fbec8190bab64357f8c5438f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.