Triple

T12608295
Position Surface form Disambiguated ID Type / Status
Subject Uli Biaho Tower E301040 entity
Predicate accessPoint P1985 FINISHED
Object Askole E305805 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: Askole | Statement: [Uli Biaho Tower, accessPoint, Askole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askole
Context triple: [Uli Biaho Tower, accessPoint, Askole]
  • A. Askole chosen
    Askole is a remote high-altitude village in Pakistan’s Karakoram range that serves as a key gateway for trekking and mountaineering expeditions to major glaciers and peaks, including K2.
  • B. Askola
    Askola is a small rural municipality in southern Finland known for its agricultural landscape and proximity to the Helsinki metropolitan area.
  • C. Okulaja
    Okulaja is a surname most notably associated with individuals of Nigerian or German-Nigerian heritage, including figures in sports and academia.
  • D. Schull
    Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
  • E. Scuol
    Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e90efc81909951dbe698afa851 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecf3e248190868c1eb864191f8b completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.