Triple

T1660081
Position Surface form Disambiguated ID Type / Status
Subject Pony Track E35884 entity
Predicate near P350 FINISHED
Object Fort William unclear NED1 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: [Pony Track, near, Fort William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort William
Context triple: [Pony Track, near, Fort William]
  • A. Fort William
    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 William
    Fort William is a historic British colonial fortress in Calcutta (now Kolkata), India, that served as a major military and administrative stronghold during the British Raj.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6277b11481909a894391f4feadd0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8abe91bc8190ba363e1f7fd07b9f completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.