Triple

T1676412
Position Surface form Disambiguated ID Type / Status
Subject Carn Mor Dearg Arete E36240 entity
Predicate nearestTown P350 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: [Carn Mor Dearg Arete, nearestTown, Fort William]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort William
Context triple: [Carn Mor Dearg Arete, nearestTown, Fort William]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Dundas
    Dundas is a Scottish surname historically associated with a prominent Lowland family influential in politics, law, and public life in Britain.
  • E. 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.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc993bbb4819085fb5832b33819bd completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:29 p.m.