Triple

T4314837
Position Surface form Disambiguated ID Type / Status
Subject Grotte de la Salamandre E94161 entity
Predicate lightingDesignedFor P33064 FINISHED
Object highlighting rock formations 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: highlighting rock formations | Statement: [Grotte de la Salamandre, lightingDesignedFor, highlighting rock formations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lightingDesignedFor
Context triple: [Grotte de la Salamandre, lightingDesignedFor, highlighting rock formations]
  • A. hasLighting
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. lightingDesigner
    Indicates that an entity is responsible for planning, creating, or supervising the lighting design for a production, event, or environment.
  • C. lightSourceFor
    Indicates that one entity serves as the source of illumination for another entity.
  • D. lightingCharacteristic
    Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
  • E. usesLightingFor chosen
    Indicates that one entity employs or relies on a particular lighting setup, technology, or condition to achieve a purpose or perform an action.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
PD Predicate disambiguation batch_69b34f4a07b08190a06ada0d9cbb14fb completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:12 p.m.