Triple

T11623687
Position Surface form Disambiguated ID Type / Status
Subject Bursa Province E276205 entity
Predicate hasMountain P10602 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: [Bursa Province, hasMountain, Uludağ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uludağ
Context triple: [Bursa Province, hasMountain, 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. Kaçkar Dağı
    Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
  • E. Anadolu Kavağı
    Anadolu Kavağı is a historic fishing village and seaside neighborhood on Istanbul’s Asian shore, known for its Bosphorus views, seafood restaurants, and nearby Yoros Castle.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13491c0c819085f4ea17ad74612a completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.