Triple

T1343642
Position Surface form Disambiguated ID Type / Status
Subject Great Glen Fault E28520 entity
Predicate passesNear P416 FINISHED
Object Fort William E39090 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: Fort William | Statement: [Great Glen Fault, passesNear, Fort William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort William
Context triple: [Great Glen Fault, passesNear, Fort William]
  • A. Fort William chosen
    Fort William is a major town in the western Scottish Highlands, known as a gateway to Ben Nevis and a popular center for outdoor activities and tourism.
  • B. Fort William
    Fort William is a historic urban area in Thunder Bay, Ontario, known for its origins as a fur trade and transportation hub on Lake Superior.
  • C. Fort Frances
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • D. Labrador City
    Labrador City is a mining-based town in western Labrador, Newfoundland and Labrador, Canada, known for its large iron ore operations and remote northern setting.
  • E. Thunder Bay
    Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce68225081909d995cd7ae5f2224 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.