Triple

T37796144
Position Surface form Disambiguated ID Type / Status
Subject Chinese hammered dulcimer E942219 entity
Predicate typicallySupportedOn P5090 FINISHED
Object stand 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: stand | Statement: [Chinese hammered dulcimer, typicallySupportedOn, stand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicallySupportedOn
Context triple: [Chinese hammered dulcimer, typicallySupportedOn, stand]
  • A. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • B. supportedPlatform chosen
    Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
  • C. isSupportedBy
    Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
  • D. supportedSystem
    Indicates that one entity provides compatibility, functionality, or operational support for another system.
  • E. isSupportedFor
    Indicates that one entity provides compatibility, assistance, or backing necessary for another entity’s proper use or operation.
  • 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_69f76ee6f1f4819091e2cf9c9e6aee19 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:19 p.m.