Triple

T9180571
Position Surface form Disambiguated ID Type / Status
Subject Glen Prosen E220315 entity
Predicate near P350 FINISHED
Object Glen Esk E87356 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: Glen Esk | Statement: [Glen Prosen, near, Glen Esk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen Esk
Context triple: [Glen Prosen, near, Glen Esk]
  • A. Glen Esk chosen
    Glen Esk is a scenic valley in Angus, Scotland, known for its rugged landscapes, walking trails, and access to the eastern Grampian Mountains.
  • B. Glenaan
    Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
  • C. Brenton Loch
    Brenton Loch is a sea inlet on East Falkland in the Falkland Islands, known for its sheltered waters and proximity to the settlement of Goose Green.
  • D. Teeswater
    Teeswater is a small rural community in Bruce County, Ontario, known for its agricultural surroundings and local dairy industry.
  • E. Esk Valley
    Esk Valley is a scenic river valley in North Yorkshire, England, known for its rural villages, moorland landscapes, and the River Esk running through it.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc251da448190a5c7f684dac15a84 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054b5512c8190aa7909ef8b56b186 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:23 p.m.