Triple

T13307409
Position Surface form Disambiguated ID Type / Status
Subject Kithairon E316970 entity
Predicate hasPass P11208 FINISHED
Object Cithaeron pass E302143 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: Cithaeron pass | Statement: [Kithairon, hasPass, Cithaeron pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cithaeron pass
Context triple: [Kithairon, hasPass, Cithaeron pass]
  • A. Kleisoura Pass
    Kleisoura Pass is a strategically important mountain pass in western Greece, historically noted for its role in military conflicts such as World War II.
  • B. Taygeta
    Taygeta is one of the prominent stars in the Pleiades (Seven Sisters) open star cluster in the constellation Taurus.
  • C. Mount Cithaeron chosen
    Mount Cithaeron is a mountain range in central Greece historically significant in Greek mythology and drama, often serving as a setting for legendary events and tragedies.
  • D. Kresna Pass
    Kresna Pass is a narrow, scenic mountain gorge in southwestern Bulgaria, known for its dramatic landscapes along the Struma River and its importance as a major transport corridor.
  • E. Mount Sipylus
    Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.