Triple

T462960
Position Surface form Disambiguated ID Type / Status
Subject Whitfield E7380 entity
Predicate isDerivedFromTopographicFeature P2833 FINISHED
Object field 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: field | Statement: [Whitfield, isDerivedFromTopographicFeature, field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isDerivedFromTopographicFeature
Context triple: [Whitfield, isDerivedFromTopographicFeature, field]
  • A. topographicIsolation
    Indicates the distance from a geographic feature to the nearest point of equal or greater elevation, expressing how isolated it is from higher terrain.
  • B. hasLandform
    Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
  • C. isToponymic chosen
    Indicates that something is related to or derived from a place name (a toponym).
  • D. topographicMap
    Indicates a mapping relationship where a representation shows the physical terrain features and elevation contours of a geographic area.
  • E. terrainFeature
    Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efc09eac8190add4bb5823b53ba7 completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede8eac081908dffade6a5e7950b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.