Triple

T26774983
Position Surface form Disambiguated ID Type / Status
Subject Ketton stone E670092 entity
Predicate isCommerciallyExploited P74963 FINISHED
Object true 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: true | Statement: [Ketton stone, isCommerciallyExploited, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCommerciallyExploited
Context triple: [Ketton stone, isCommerciallyExploited, true]
  • A. hasCommercialImportance chosen
    Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
  • B. эксплуатируется
    Indicates that one entity is being used or operated by another, often in a way that takes advantage of its resources, capabilities, or labor.
  • C. hasCommercialFunction
    Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
  • D. commercializedIn
    Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
  • E. hasCommercialAppeal
    Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
  • 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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 4:04 a.m.