Triple

T948377
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia City Hall E20463 entity
Predicate wasTallestHabitableBuildingInWorldAtCompletion P1731 FINISHED
Object yes 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: yes | Statement: [Philadelphia City Hall, wasTallestHabitableBuildingInWorldAtCompletion, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasTallestHabitableBuildingInWorldAtCompletion
Context triple: [Philadelphia City Hall, wasTallestHabitableBuildingInWorldAtCompletion, yes]
  • A. formerTallestBuildingInTheWorld chosen
    Indicates that a building once held, but no longer holds, the record for being the tallest building in the world.
  • B. heldTallestBuildingTitleFrom
    Indicates that one entity held the title of having the tallest building in the world (or a specified region) starting from a particular time.
  • C. heldTallestStructureTitleUntil
    Indicates that one structure held the title of being the tallest in a given context up to and including a specified end time.
  • D. tallestBuildingIn
    Indicates that one entity is the tallest building located within the area or region specified by the other entity.
  • E. heldTallestStructureTitleFrom
    Indicates that an entity held the title of being the tallest structure for a specified time period starting from a given point.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bf9bb88190a79b2db698613a8d completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29f05f481908814bd11f235e9d0 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.