Triple

T2765296
Position Surface form Disambiguated ID Type / Status
Subject Cambrian Mountains E61321 entity
Predicate mainLandUse P14072 FINISHED
Object sheep farming 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: sheep farming | Statement: [Cambrian Mountains, mainLandUse, sheep farming]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainLandUse
Context triple: [Cambrian Mountains, mainLandUse, sheep farming]
  • A. majorLandUse
    Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
  • B. primaryLandUse chosen
    Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
  • C. otherLandUse
    Indicates that the land is used for purposes that do not fall into any of the primary or predefined land-use categories.
  • D. secondaryLandUse
    Indicates a secondary or additional way in which a piece of land is used, beyond its primary designated use.
  • E. landUseIncludes
    Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
PD Predicate disambiguation batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.