Triple

T11019099
Position Surface form Disambiguated ID Type / Status
Subject La cathédrale engloutie E260438 entity
Predicate dynamicFeatures P96595 FINISHED
Object wide dynamic range 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: wide dynamic range | Statement: [La cathédrale engloutie, dynamicFeatures, wide dynamic range]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dynamicFeatures
Context triple: [La cathédrale engloutie, dynamicFeatures, wide dynamic range]
  • A. developmentFeature
    Indicates that one entity serves as a developmental feature, aspect, or component of another entity within a growth or improvement process.
  • B. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • C. designedFeature
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • D. displaysFeature
    Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
  • E. featuresReimaginedVersionOf
    Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
  • F. None of above. chosen

Provenance (4 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a9e8788190a0f45b52bad1bfb5 completed April 9, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69d72e995e008190bbffb314129ed0cd completed April 9, 2026, 4:44 a.m.
PDg Predicate description generation batch_69d732242fdc8190be77d1f730a42935 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:25 p.m.