Triple

T2603941
Position Surface form Disambiguated ID Type / Status
Subject Channel Express E58611 entity
Predicate callsign P1565 FINISHED
Object CHANNEX
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
E281506 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: CHANNEX | Statement: [Channel Express, callsign, CHANNEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHANNEX
Context triple: [Channel Express, callsign, CHANNEX]
  • A. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • 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. CHX
    CHX is the National Rail station code for London Charing Cross, a major central London railway terminus and transport hub.
  • D. Channel 5
    Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
  • E. GA Channel
    GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
  • 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: CHANNEX
Triple: [Channel Express, callsign, CHANNEX]
Generated description
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CHANNEX
Target entity description: CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
  • A. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • 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. CHX
    CHX is the National Rail station code for London Charing Cross, a major central London railway terminus and transport hub.
  • D. Channel 5
    Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
  • E. GA Channel
    GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8340eac819084eb1fe6f0ac0aa0 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af851e85e0819080d57dc7dbd3a901 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af858561f48190b7a2863d733a1b13 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.