Triple

T10159055
Position Surface form Disambiguated ID Type / Status
Subject Undernet E233841 entity
Predicate hasService P182 FINISHED
Object C (channel service)
C is Undernet’s channel service bot that helps users manage and protect IRC channels through registration and automated controls.
 E845128 NE FINISHED

How this triple was built (4 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: C (channel service) | Statement: [Undernet, hasService, C (channel service)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C (channel service)
Context triple: [Undernet, hasService, C (channel service)]
  • A. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • B. CHANNEX
    CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
  • C. CTS
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • D. CTS
    CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
  • E. CTS
    CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: C (channel service)
Triple: [Undernet, hasService, C (channel service)]
Generated description
C is Undernet’s channel service bot that helps users manage and protect IRC channels through registration and automated controls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C (channel service)
Target entity description: C is Undernet’s channel service bot that helps users manage and protect IRC channels through registration and automated controls.
  • A. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • B. CHANNEX
    CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
  • C. CTS
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • D. CTS
    CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
  • E. CTS
    CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • F. None of above. chosen

Provenance (5 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d302537a548190b211727dd124cba6 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d3033245448190bcc802b7dbd274fc completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:09 p.m.