Triple

T7654009
Position Surface form Disambiguated ID Type / Status
Subject Embankment station E173328 entity
Predicate adjacentStationOnBakerloo P52796 FINISHED
Object Waterloo E265743 NE FINISHED

How this triple was built (3 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: Waterloo | Statement: [Embankment station, adjacentStationOnBakerloo, Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo
Context triple: [Embankment station, adjacentStationOnBakerloo, Waterloo]
  • A. Waterloo chosen
    Waterloo is a major district in central London known for its busy railway station, cultural venues like the Southbank Centre, and proximity to landmarks such as the London Eye and the River Thames.
  • B. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • C. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • D. Waterloo
    Waterloo is a town in present-day Belgium best known as the site of Napoleon Bonaparte’s decisive defeat in 1815, which ended the Napoleonic Wars and reshaped European politics.
  • E. Waterloo
    Waterloo is a mid-sized Canadian city in southwestern Ontario known for its universities, tech industry, and role within the Kitchener–Waterloo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnBakerloo
Context triple: [Embankment station, adjacentStationOnBakerloo, Waterloo]
  • A. adjacentStationOnBakerlooLine chosen
    Indicates that one station is directly next to another station along the Bakerloo Line, with no other stations in between.
  • B. adjacentStationOnVictoriaLine
    Indicates that one station is directly next to another station along the Victoria Line, with no other stations in between.
  • C. isAdjacentStationOnPiccadillyLine
    Indicates that two stations are directly next to each other as consecutive stops on the Piccadilly Line.
  • D. adjacentStationOnNorthernLine
    Indicates that one station is directly next to another station along the Northern Line, with no other stations in between.
  • E. isAdjacentStationOnJubileeLine
    Indicates that two stations are directly next to each other as consecutive stops on the Jubilee Line.
  • F. None of above.

Provenance (4 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7061cbc3c8190a917dd7e71214182 completed March 27, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69c7015dd8fc8190bc5f52a12bd46209 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 3:59 p.m.