Triple

T5446656
Position Surface form Disambiguated ID Type / Status
Subject Lochaline E122264 entity
Predicate locatedIn P40 FINISHED
Object Lochaber E35881 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: Lochaber | Statement: [Lochaline, locatedIn, Lochaber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lochaber
Context triple: [Lochaline, locatedIn, Lochaber]
  • A. Lochaber chosen
    Lochaber is a region in the western Scottish Highlands known for its rugged landscapes, including Britain’s highest mountain, Ben Nevis.
  • B. Tullibigeal
    Tullibigeal is a small rural town in New South Wales, Australia, known for its agricultural community and location within the Riverina region.
  • C. Strathcarron
    Strathcarron is a small village in the Scottish Highlands, situated near the head of Loch Carron and known as a gateway to the scenic west coast and nearby Torridon mountains.
  • D. Glen Tanar
    Glen Tanar is a scenic glen in Aberdeenshire, Scotland, known for its ancient Caledonian pine forest, wildlife, and outdoor recreation within the Cairngorms National Park.
  • E. Innisfail
    Innisfail is a coastal town in Far North Queensland, Australia, known for its sugar cane industry and frequent tropical rainfall.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cf5d488190868ffefad02c7a04 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413573c08190beae400c485d2132 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.