Triple

T17481793
Position Surface form Disambiguated ID Type / Status
Subject Inverness to Elgin E425677 entity
Predicate connectsCity P4245 FINISHED
Object Inverness NE NERFINISHED

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: Inverness | Statement: [Inverness to Elgin, connectsCity, Inverness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inverness
Context triple: [Inverness to Elgin, connectsCity, Inverness]
  • A. Inverness chosen
    Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
  • B. Inverness
    Inverness is a small coastal community in Marin County, California, known for its scenic setting along Tomales Bay near Point Reyes National Seashore.
  • C. Inverness
    Inverness is a small coastal locality within Queensland’s Capricorn Coast region in Australia.
  • D. Nairn
    Nairn is a coastal town in the Highland council area of Scotland, known as a seaside resort on the Moray Firth.
  • E. Inveraray
    Inveraray is a historic town on the shores of Loch Fyne in western Scotland, noted for Inveraray Castle and its role as the traditional seat of the Dukes of Argyll.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.