Triple

T15116970
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain Tower E361065 entity
Predicate hasFormerName P65 FINISHED
Object Telecom Tower E361066 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: Telecom Tower | Statement: [Black Mountain Tower, hasFormerName, Telecom Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telecom Tower
Context triple: [Black Mountain Tower, hasFormerName, Telecom Tower]
  • A. Telecom Tower chosen
    Telecom Tower is a prominent telecommunications and observation tower in Canberra, Australia, known for housing broadcast facilities and offering panoramic city views.
  • B. AT&T Gateway Tower
    AT&T Gateway Tower is the former name of the Seattle Municipal Tower, a prominent high-rise office building in downtown Seattle, Washington.
  • C. AMP Tower
    AMP Tower is a prominent observation and communications tower in Sydney, Australia, known as one of the city's most recognizable landmarks.
  • D. Ufone Tower
    Ufone Tower is a prominent high-rise office building in Islamabad, Pakistan, serving as a key corporate hub and recognizable landmark in the city’s Blue Area.
  • E. BSE Towers
    BSE Towers is the high-rise office complex in Mumbai that serves as the headquarters of the Bombay Stock Exchange, one of Asia’s oldest stock exchanges.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059ca9048190b742e70e818ee64f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.