Triple

T20992051
Position Surface form Disambiguated ID Type / Status
Subject Great Dodd E517048 entity
Predicate usualAscentRouteFrom P73321 FINISHED
Object Dockray 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: Dockray | Statement: [Great Dodd, usualAscentRouteFrom, Dockray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dockray
Context triple: [Great Dodd, usualAscentRouteFrom, Dockray]
  • A. Dockray chosen
    Dockray is a small hamlet in the Lake District of Cumbria, England, known for its rural setting and proximity to scenic fells and waterfalls.
  • B. Medigoron
    Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
  • C. Basmane
    Basmane is a historic central district and major transport hub in İzmir, Turkey, known for its railway station, markets, and proximity to the city’s cultural attractions.
  • D. Lyquin
    Lyquin is a hip-hop artist associated with Generation Now, the record label co-founded by DJ Drama.
  • E. Tramelan
    Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1cbb10819089e4f1445b921946 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.