Triple

T38459229
Position Surface form Disambiguated ID Type / Status
Subject Wells Fargo Plaza E912402 entity
Predicate rankInUSByHeight P153860 FINISHED
Object among tallest buildings in the United States LITERAL 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: among tallest buildings in the United States | Statement: [Wells Fargo Plaza, rankInUSByHeight, among tallest buildings in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInUSByHeight
Context triple: [Wells Fargo Plaza, rankInUSByHeight, among tallest buildings in the United States]
  • A. rankAmongTallestInUS chosen
    Indicates that the entity is among the tallest of its kind within the United States.
  • B. rankingInCountryByHeight
    Indicates the position an entity holds in an ordered list of entities within a specific country, when sorted by their height.
  • C. rankingInStateByHeight
    Indicates the position an entity holds in an ordered list of entities within a specific state, based on their relative height.
  • D. formerRankInUKByHeight
    Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
  • E. countryRankByHeightAtCompletion
    Indicates the position of a country in an ordered list based on the height of something (typically a structure or project) at the time it was completed.
  • F. None of above.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd09840ea88190a2e6d7e577ade717 completed May 7, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69fd064c49988190afadddbd04d7cb94 completed May 7, 2026, 9:38 p.m.
Created at: May 3, 2026, 4:31 p.m.