Triple

T4126823
Position Surface form Disambiguated ID Type / Status
Subject Inverness railway station E92745 entity
Predicate locatedIn P40 FINISHED
Object Inverness E50911 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: Inverness | Statement: [Inverness railway station, locatedIn, Inverness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inverness
Context triple: [Inverness railway station, locatedIn, 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. Nairn
    Nairn is a coastal town in the Highland council area of Scotland, known as a seaside resort on the Moray Firth.
  • C. 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.
  • D. Greenock
    Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
  • E. Balerno
    Balerno is a suburban village on the outskirts of Edinburgh, Scotland, known for its scenic setting near the Pentland Hills and its residential character.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0219f0e48190b0a925f09d858d65 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627befdd881908b602fd80f030405 completed March 15, 2026, 3:30 a.m.
Created at: March 9, 2026, 3:42 p.m.