Triple

T13089429
Position Surface form Disambiguated ID Type / Status
Subject The Drain E310420 entity
Predicate refersToLineWithTermini P45024 FINISHED
Object Waterloo unclear NED1 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: [The Drain, refersToLineWithTermini, Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo
Context triple: [The Drain, refersToLineWithTermini, Waterloo]
  • A. 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.
  • B. Waterloo
    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.
  • C. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • D. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • E. Waterloo
    Waterloo is an inner-city suburb of Sydney, Australia, known for its mix of public housing, industrial heritage, and rapid urban redevelopment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refersToLineWithTermini
Context triple: [The Drain, refersToLineWithTermini, Waterloo]
  • A. isLinedWith
    Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
  • B. formsPartOfLine
    Indicates that one element constitutes a segment or component belonging to a larger line.
  • C. associatedLine chosen
    Indicates that one entity is linked or connected to a particular line (such as a line item, line of text, or line in a structure) with which it is contextually or functionally related.
  • D. refersToPosition
    Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
  • E. connectedLine
    Indicates that two entities are joined by a continuous line or linear connection.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:03 p.m.