Triple

T14492972
Position Surface form Disambiguated ID Type / Status
Subject Russell Offices E359411 entity
Predicate hasPart P35 FINISHED
Object R5 building E518502 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: R5 building | Statement: [Russell Offices, hasPart, R5 building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R5 building
Context triple: [Russell Offices, hasPart, R5 building]
  • A. R5 building chosen
    The R5 building is a key Norwegian government office complex in Oslo that houses several central ministries and administrative functions.
  • B. R7 building
    The R7 building is a government office block in Oslo that forms part of Norway’s central Government Quarter complex.
  • C. R4 building
    The R4 building is a government office block in Oslo that forms part of Norway's central Government Quarter complex.
  • D. R6 building
    The R6 building is a government office complex in central Oslo that houses several Norwegian ministries and administrative functions.
  • E. Building 5
    Building 5 is a notable pre-Columbian structure within the ancient Mesoamerican city of El Tajín in Veracruz, Mexico, recognized for its intricate reliefs and ceremonial significance.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930f34d08190b4b30e54e2f702ed completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:20 a.m.