Triple

T21800064
Position Surface form Disambiguated ID Type / Status
Subject Glasgow Cross E538213 entity
Predicate near P350 FINISHED
Object Glasgow Green 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: Glasgow Green | Statement: [Glasgow Cross, near, Glasgow Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glasgow Green
Context triple: [Glasgow Cross, near, Glasgow Green]
  • A. Glasgow Green chosen
    Glasgow Green is a historic public park in Glasgow, Scotland, known as one of the city's oldest green spaces and a traditional site for gatherings and events.
  • B. Glasgow Park
    Glasgow Park is a popular public park in New Castle County, Delaware, known for its walking trails, playgrounds, and open recreational spaces.
  • C. Newall Green
    Newall Green is a residential neighbourhood within the Wythenshawe area of Manchester, England.
  • D. George Square Gardens
    George Square Gardens is a central green space in Edinburgh’s university district, known for its lawns, trees, and role as a hub for student life and festival events.
  • E. George Square
    George Square is a central public square in Glasgow, Scotland, known for its historic monuments, civic buildings, and role as a focal point for public events and gatherings.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077fede848190b8fe07941d6573d9 completed April 28, 2026, 9:03 a.m.
Created at: April 16, 2026, 6:53 p.m.