Triple

T8896531
Position Surface form Disambiguated ID Type / Status
Subject Dacia E211817 entity
Predicate legacyReflectedIn P65341 FINISHED
Object name of the Romanian car brand Dacia 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: name of the Romanian car brand Dacia | Statement: [Dacia, legacyReflectedIn, name of the Romanian car brand Dacia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legacyReflectedIn
Context triple: [Dacia, legacyReflectedIn, name of the Romanian car brand Dacia]
  • A. reflects
    Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
  • B. rememberedThrough chosen
    Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
  • C. recalledBy
    Indicates that an entity is brought back, retrieved, or remembered as a result of another entity’s action or prompting.
  • D. mirroredAt
    Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
  • E. honoursLegacyOf
    Indicates that one entity actively preserves, respects, or celebrates the memory, values, or achievements of another entity from the past.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bfec0881908e4ef5b7f0e6b542 completed April 1, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cc5c2bfb38819083d5eb1af8ccf4d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:54 p.m.