Triple

T29270598
Position Surface form Disambiguated ID Type / Status
Subject Blue Earth, Minnesota, United States E742101 entity
Predicate hasLandmarkHeight P103350 FINISHED
Object Jolly Green Giant statue approximately 55 feet tall NE NERFINISHED

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: Jolly Green Giant statue approximately 55 feet tall | Statement: [Blue Earth, Minnesota, United States, hasLandmarkHeight, Jolly Green Giant statue approximately 55 feet tall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandmarkHeight
Context triple: [Blue Earth, Minnesota, United States, hasLandmarkHeight, Jolly Green Giant statue approximately 55 feet tall]
  • A. hasHillHeight
    Indicates that an entity (such as a hill or location) possesses a specific height value.
  • B. hasHighestPointAboveSeaLevel
    Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
  • C. hasElevationFeature
    Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
  • D. hasLandmarkProperty chosen
    Indicates that something possesses a notable or defining landmark-related characteristic or feature.
  • E. hasTowerHeight
    Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
  • 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: April 28, 2026, 12:48 p.m.