Triple

T20133705
Position Surface form Disambiguated ID Type / Status
Subject Sipylus in Lydia E490964 entity
Predicate hasNameOrigin P3325 FINISHED
Object Mount Sipylus NE NERFINISHED

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: Mount Sipylus | Statement: [Sipylus in Lydia, hasNameOrigin, Mount Sipylus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Sipylus
Context triple: [Sipylus in Lydia, hasNameOrigin, Mount Sipylus]
  • A. Mount Sipylus chosen
    Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
  • B. Mount Oligyrtos
    Mount Oligyrtos is a prominent mountain massif in the northeastern Peloponnese of Greece, known for its rugged terrain and natural beauty.
  • C. Mount Parnitha
    Mount Parnitha is a prominent mountain and national park in Greece, known for its forests, wildlife, and hiking trails just northwest of Athens.
  • D. Mount Amiata
    Mount Amiata is a dormant volcanic massif in southern Tuscany, Italy, known for its forested slopes, ski areas, and panoramic views over the surrounding countryside.
  • E. Mount Parnon
    Mount Parnon is a prominent mountain range in the southeastern Peloponnese of Greece, known for its rugged peaks, dense forests, and traditional villages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676556c481909ffc80cd2009b65a completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.