Triple

T2483460
Position Surface form Disambiguated ID Type / Status
Subject Manchester rail network E55871 entity
Predicate includesLine P2124 FINISHED
Object Chat Moss line E34417 NE 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: Chat Moss line | Statement: [Manchester rail network, includesLine, Chat Moss line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chat Moss line
Context triple: [Manchester rail network, includesLine, Chat Moss line]
  • A. Chat Moss chosen
    Chat Moss is a large peat bog in Greater Manchester, England, historically significant for its challenging terrain that had to be engineered across during the construction of early railway lines.
  • B. Libera Chat
    Libera Chat is a prominent free and open-source–focused IRC network that hosts real-time discussion channels for numerous software projects and online communities.
  • C. Meta AI assistant
    Meta AI assistant is an artificial intelligence–powered virtual assistant created by Meta to help users with tasks like answering questions, generating content, and interacting across Meta’s platforms.
  • D. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • E. OpenAI Chat Completions API
    The OpenAI Chat Completions API is a cloud-based interface that lets developers integrate advanced conversational AI models into their applications for tasks like dialogue, assistance, and content generation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b7b4f08190b23af81c696bba4e completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.