Triple

T17675482
Position Surface form Disambiguated ID Type / Status
Subject Action Cable E440632 entity
Predicate hasComponent P35 FINISHED
Object ActionCable::Channel NE NERFINISHED

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: ActionCable::Channel | Statement: [Action Cable, hasComponent, ActionCable::Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ActionCable::Channel
Context triple: [Action Cable, hasComponent, ActionCable::Channel]
  • A. Action Cable chosen
    Action Cable is the Ruby on Rails framework component that enables real-time, WebSocket-based features to be integrated into Rails applications.
  • B. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • C. RTCDataChannel
    RTCDataChannel is a WebRTC API interface that enables bidirectional, low-latency data transfer between peers in a web application.
  • D. Django Channels
    Django Channels is an extension to the Django web framework that adds support for handling WebSockets, long-running connections, and asynchronous communication.
  • E. Wantsum Channel system
    The Wantsum Channel system was a former navigable waterway in Kent, England, that once separated the Isle of Thanet from the mainland and played a significant role in medieval maritime trade and coastal geography.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6cca54819094ea0bed1517724e completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.