Triple

T12685142
Position Surface form Disambiguated ID Type / Status
Subject Tupolev Tu-126 E303046 entity
Predicate natoReportingName P6062 FINISHED
Object Moss
Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
E998890 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: Moss | Statement: [Tupolev Tu-126, natoReportingName, Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss
Context triple: [Tupolev Tu-126, natoReportingName, Moss]
  • A. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Moss
    Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
  • D. Moss
    Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
  • E. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • 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: Moss
Triple: [Tupolev Tu-126, natoReportingName, Moss]
Generated description
Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moss
Target entity description: Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
  • A. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Moss
    Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
  • D. Moss
    Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
  • E. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6749c2ddc8190945270e6e5b210dd completed May 2, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:21 p.m.