Triple

T19032466
Position Surface form Disambiguated ID Type / Status
Subject Vigla E465775 entity
Predicate locatedIn P40 FINISHED
Object Mount Pangaion 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 Pangaion | Statement: [Vigla, locatedIn, Mount Pangaion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pangaion
Context triple: [Vigla, locatedIn, Mount Pangaion]
  • A. Mount Pangaion chosen
    Mount Pangaion is a historically significant mountain in northern Greece, famed in antiquity for its rich gold and silver mines and its role in ancient Macedonian and Thracian history.
  • B. Mount Terevaka
    Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
  • C. Mount Pahia
    Mount Pahia is a prominent volcanic peak on the island of Bora Bora in French Polynesia, known for its rugged terrain and panoramic views over the surrounding lagoon.
  • D. Mount Spathi
    Mount Spathi is the highest peak of the Dikti mountain range on the island of Crete in Greece.
  • E. Mount Oros
    Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7410dd08190b08a7c0a2b8d67f3 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.