Triple

T5048321
Position Surface form Disambiguated ID Type / Status
Subject Pieria E113721 entity
Predicate contains P35 FINISHED
Object Pydna E363704 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: Pydna | Statement: [Pieria, contains, Pydna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pydna
Context triple: [Pieria, contains, Pydna]
  • A. Pydna chosen
    Pydna was an ancient Macedonian coastal city notable as a political and military center, especially during the era of the Macedonian kingdom and the Roman conquest of Greece.
  • B. Repyt
    Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
  • C. ODNA
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • D. DioND
    DioND is the commonly used abbreviation for the Episcopal Diocese of North Dakota, a regional jurisdiction of the Episcopal Church in the United States.
  • E. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7401419081909ba62b9c27f770c4 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c9143a081909132c66eb9fc91db completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.