Triple

T12841915
Position Surface form Disambiguated ID Type / Status
Subject AMP Tower E307070 entity
Predicate alsoKnownAs P39 FINISHED
Object Sydney Tower E59441 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: Sydney Tower | Statement: [AMP Tower, alsoKnownAs, Sydney Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Tower
Context triple: [AMP Tower, alsoKnownAs, Sydney Tower]
  • A. Sydney Tower chosen
    Sydney Tower is a prominent observation and communications tower in Sydney, Australia, known for its panoramic city views and status as one of the city's most recognizable landmarks.
  • B. Telstra Tower
    Telstra Tower is a prominent telecommunications and observation tower in Canberra, Australia, offering panoramic views of the city and surrounding region.
  • C. Canton Tower
    Canton Tower is a landmark supertall observation and telecommunications tower in Guangzhou, China, known for its distinctive twisting design and panoramic city views.
  • D. Eureka Opera House
    The Eureka Opera House is a restored 19th-century performance hall and cultural landmark in the historic mining town of Eureka, Nevada.
  • E. UTS Tower
    UTS Tower is the main high-rise campus building of the University of Technology Sydney and one of the most recognizable landmarks in Sydney’s educational precinct.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff2ab60819085561a3120189985 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c962f08190af7dee663a1d2319 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:35 p.m.