Triple

T13063132
Position Surface form Disambiguated ID Type / Status
Subject Mount Olympus of Bithynia E329248 entity
Predicate modernName P1213 FINISHED
Object Uludağ E85305 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: Uludağ | Statement: [Mount Olympus of Bithynia, modernName, Uludağ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uludağ
Context triple: [Mount Olympus of Bithynia, modernName, Uludağ]
  • A. Uludağ Mountain chosen
    Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
  • B. Palandöken
    Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
  • C. Mount Erciyes
    Mount Erciyes is a massive stratovolcano in central Turkey, dominating the landscape near Kayseri and contributing to the geological formation of the Cappadocia region.
  • D. Hasan Dağı
    Hasan Dağı is a prominent stratovolcano in central Turkey, notable for its twin-peaked summit and its dominance of the surrounding Cappadocian landscape.
  • E. Akçadağ
    Akçadağ is a town and district in eastern Turkey known for its agricultural activities and location within Malatya Province.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead460908190a566f5416e456aeb completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:59 p.m.