Triple

T8472678
Position Surface form Disambiguated ID Type / Status
Subject Centronics parallel port E200314 entity
Predicate connectionTopology P12678 FINISHED
Object point-to-point 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: point-to-point | Statement: [Centronics parallel port, connectionTopology, point-to-point]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectionTopology
Context triple: [Centronics parallel port, connectionTopology, point-to-point]
  • A. usesTopology
    Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
  • B. hasTopology chosen
    Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
  • C. typicalTopology
    Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
  • D. networkModel
    Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
  • E. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f4fbf481909e4fd7c078b27477 completed March 31, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69cbd104250c8190b4c499dcc9937494 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:11 p.m.