Triple

T5407053
Position Surface form Disambiguated ID Type / Status
Subject Messier 45 E120917 entity
Predicate containsStar P1393 FINISHED
Object Taygeta E111366 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: Taygeta | Statement: [Messier 45, containsStar, Taygeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taygeta
Context triple: [Messier 45, containsStar, Taygeta]
  • A. Taygeta chosen
    Taygeta is one of the prominent stars in the Pleiades (Seven Sisters) open star cluster in the constellation Taurus.
  • B. Mount Taygetus
    Mount Taygetus is a prominent mountain range in the Peloponnese region of southern Greece, known for its rugged peaks, rich mythology, and historical significance in ancient Sparta.
  • C. 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.
  • D. Mount Cithaeron
    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.
  • E. Erymanthos Mountains
    The Erymanthos Mountains are a rugged mountain range in the Peloponnese of Greece, known for their high peaks, deep gorges, and rich natural landscapes.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa0b00c8190aab3e475e19c3276 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.