Triple

T14692148
Position Surface form Disambiguated ID Type / Status
Subject City of London Corporation area E345059 entity
Predicate contains P35 FINISHED
Object Tower 42 E826159 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: Tower 42 | Statement: [City of London Corporation area, contains, Tower 42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tower 42
Context triple: [City of London Corporation area, contains, Tower 42]
  • A. Tower 42 chosen
    Tower 42 is a prominent modernist skyscraper in the City of London, formerly known as the NatWest Tower and once the tallest building in the United Kingdom.
  • B. Tower 2000
    Tower 2000 is a high-rise office and business complex that forms part of Moscow’s modern Moscow International Business Center skyline.
  • C. Tower Forty-seven
    Tower Forty-seven is one of the defensive towers incorporated into the historic medieval York city walls in York, England.
  • D. Tower Forty
    Tower Forty is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • E. Infinity Tower
    Infinity Tower, now known as Cayan Tower, is a distinctive 75-story residential skyscraper in Dubai famous for its 90-degree twisting design.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18b4bdc8190b5daf05484de7cd8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.