Triple

T10762993
Position Surface form Disambiguated ID Type / Status
Subject District Clause of the U.S. Constitution E253878 entity
Predicate maximumAreaAuthorized P22930 FINISHED
Object ten miles square 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: ten miles square | Statement: [District Clause of the U.S. Constitution, maximumAreaAuthorized, ten miles square]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumAreaAuthorized
Context triple: [District Clause of the U.S. Constitution, maximumAreaAuthorized, ten miles square]
  • A. hasLargestAreaOf
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • B. maximumExtent chosen
    Indicates the greatest or furthest degree, size, or range to which something can extend or apply within a given context.
  • C. maximumNumber
    Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
  • D. maximumCeiling
    Indicates the highest allowable or achievable limit or value that something cannot exceed.
  • E. maximumCapacity
    Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a373708190ae5ac0c027a4014c completed April 9, 2026, 4:57 a.m.
PD Predicate disambiguation batch_69d6f311529c819080ca5493d55d6050 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:16 p.m.