Triple

T11571437
Position Surface form Disambiguated ID Type / Status
Subject balancing rocks E274394 entity
Predicate areVisuallySimilarTo P35666 FINISHED
Object man-made rock balancing art 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: man-made rock balancing art | Statement: [balancing rocks, areVisuallySimilarTo, man-made rock balancing art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areVisuallySimilarTo
Context triple: [balancing rocks, areVisuallySimilarTo, man-made rock balancing art]
  • A. lessSimilarTo
    Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
  • B. hasSimilarityTo
    Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
  • C. materiallySimilarTo
    Indicates that two entities share substantially the same physical or material characteristics, composition, or properties, though they may not be exactly identical.
  • D. similarToFlagOf
    Indicates that one entity’s flag resembles or closely matches the design, colors, or symbols of another entity’s flag.
  • E. resembles chosen
    Indicates that one entity is similar in appearance, form, or characteristics to another.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.