Triple

T36858283
Position Surface form Disambiguated ID Type / Status
Subject Sérgio de Camargo E910857 entity
Predicate typicalWorkFeatures P5084 FINISHED
Object cylindrical wooden elements arranged in relief 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: cylindrical wooden elements arranged in relief | Statement: [Sérgio de Camargo, typicalWorkFeatures, cylindrical wooden elements arranged in relief]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalWorkFeatures
Context triple: [Sérgio de Camargo, typicalWorkFeatures, cylindrical wooden elements arranged in relief]
  • A. featuresWorkType
    Indicates that an entity includes, supports, or is characterized by a particular type or category of work.
  • B. typicalFeatures chosen
    Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
  • C. workPrimaryFeature
    Indicates that the referenced work serves as the main or most prominent feature in a given context (such as a release, event, or collection).
  • D. basedOnWorkTypeOftenAppearsIn
    Indicates that something of a given work type frequently appears in or is commonly found within another context or medium.
  • E. settingOfWork
    Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
  • 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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:13 p.m.