Triple

T13238817
Position Surface form Disambiguated ID Type / Status
Subject City of Blue Mountains E315223 entity
Predicate contains P35 FINISHED
Object Blackheath E74884 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: Blackheath | Statement: [City of Blue Mountains, contains, Blackheath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackheath
Context triple: [City of Blue Mountains, contains, Blackheath]
  • A. Blackheath chosen
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • B. Blackheath
    Blackheath is a large open common and residential area in southeast London, known for hosting major events and serving as the traditional starting point of the London Marathon.
  • C. Herne Hill
    Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
  • D. Thornton Heath
    Thornton Heath is a diverse residential district in South London known for its vibrant multicultural community and strong transport links into central London.
  • E. Gants Hill
    Gants Hill is a suburban district in northeast London known for its busy road junction, Underground station on the Central line, and mix of residential and commercial areas.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:23 p.m.