Triple

T37051961
Position Surface form Disambiguated ID Type / Status
Subject Digital Visual Interface E917071 entity
Predicate hasConnectorShape P51911 FINISHED
Object rectangular with flat blade and pin grid 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: rectangular with flat blade and pin grid | Statement: [Digital Visual Interface, hasConnectorShape, rectangular with flat blade and pin grid]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConnectorShape
Context triple: [Digital Visual Interface, hasConnectorShape, rectangular with flat blade and pin grid]
  • A. hasConnector
    Indicates that one entity is linked or joined to another entity through a connector or connecting element.
  • B. hasTerminalShape chosen
    Indicates that one entity possesses or exhibits a particular terminal (end) shape defined by another entity.
  • C. hasShapeRelation
    Indicates that one entity is related to another through a specific geometric or spatial shape relationship (such as similarity, congruence, or containment of shape).
  • D. hasTunnelShape
    Indicates that something possesses a form or configuration resembling a tunnel, typically elongated, enclosed, and passage-like.
  • E. hasArchShape
    Indicates that something possesses or exhibits an arched or curved shape.
  • 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_69f76e94d0308190a3f06890e133c88e 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_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:14 p.m.