Triple

T19234752
Position Surface form Disambiguated ID Type / Status
Subject GMII E480963 entity
Predicate collisionSignalsUsedFor P135291 FINISHED
Object half-duplex compatibility 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: half-duplex compatibility | Statement: [GMII, collisionSignalsUsedFor, half-duplex compatibility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collisionSignalsUsedFor
Context triple: [GMII, collisionSignalsUsedFor, half-duplex compatibility]
  • A. colliderUsed
    Indicates that a particular collider or collision-detection component is employed or involved in an interaction or event between entities.
  • B. collisionSystem
    Indicates a physical interaction where two or more entities impact or collide with each other within a defined system or environment.
  • C. collisionDetectionMethod
    Indicates the technique or algorithm used to determine whether two or more entities come into contact or intersect.
  • D. marksCollisionBetween
    Indicates a recorded event or state where two or more entities have come into contact or collided with each other.
  • E. collisionDomain
    Indicates that two or more network entities share the same collision domain, meaning their transmissions can interfere and cause packet collisions with each other.
  • F. None of above. chosen

Provenance (4 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faeb53988190b83afee9974058c6 completed April 20, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e4dcfae6f081909cc173cf71a5005c completed April 19, 2026, 1:47 p.m.
PDg Predicate description generation batch_69e4debc39ac81908b7c5ef797046360 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 1:26 p.m.