Triple

T37834082
Position Surface form Disambiguated ID Type / Status
Subject Morane-Saulnier M.S.406 E943287 entity
Predicate derivedVariant P4680 FINISHED
Object Morane-Saulnier M.S.410
The Morane-Saulnier M.S.410 was an improved French World War II fighter aircraft featuring upgraded armament and refinements over its predecessor.
 E2248315 NE FINISHED

How this triple was built (3 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: Morane-Saulnier M.S.410 | Statement: [Morane-Saulnier M.S.406, derivedVariant, Morane-Saulnier M.S.410]
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: Morane-Saulnier M.S.410
Triple: [Morane-Saulnier M.S.406, derivedVariant, Morane-Saulnier M.S.410]
Generated description
The Morane-Saulnier M.S.410 was an improved French World War II fighter aircraft featuring upgraded armament and refinements over its predecessor.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: derivedVariant
Context triple: [Morane-Saulnier M.S.406, derivedVariant, Morane-Saulnier M.S.410]
  • A. exportVariantOf
    Indicates that one entity is an exported version or externally released form derived from another, original entity.
  • B. customizedVariantOf
    Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
  • C. variant chosen
    Indicates that one entity is an alternative form, version, or variation of another entity.
  • D. derivedFrom
    Indicates that one entity originates, is obtained, or is developed from another source entity.
  • E. derivedBy
    Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
  • F. None of above.

Provenance (6 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cb41a4c81908dbbb8f8ed467c0a completed June 28, 2026, 11:59 a.m.
NEDg Description generation batch_6a410d70ba0c8190bdcab9e762c92884 completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e3dd828819099fc3a413bcfbeb9 completed June 28, 2026, 12:06 p.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.