Triple

T11817663
Position Surface form Disambiguated ID Type / Status
Subject Rize Province E281043 entity
Predicate hasHighestPoint P210 FINISHED
Object Kaçkar Dağı E735581 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: Kaçkar Dağı | Statement: [Rize Province, hasHighestPoint, Kaçkar Dağı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaçkar Dağı
Context triple: [Rize Province, hasHighestPoint, Kaçkar Dağı]
  • A. Kaçkar Dağı chosen
    Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
  • B. Uludağ Mountain
    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.
  • C. Palandöken
    Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
  • D. Kopet Dagh
    Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
  • E. 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.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28110623481908354bdd4e437f99e completed April 29, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:42 p.m.