Triple

T14033000
Position Surface form Disambiguated ID Type / Status
Subject AMX A-1 E337637 entity
Predicate modernizedVariant P21626 FINISHED
Object A-1M
The A-1M is an upgraded version of the Brazilian AMX A-1 attack aircraft featuring modernized avionics, sensors, and systems to enhance its ground-attack and reconnaissance capabilities.
 E1075018 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: A-1M | Statement: [AMX A-1, modernizedVariant, A-1M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-1M
Context triple: [AMX A-1, modernizedVariant, A-1M]
  • A. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • B. A1(M)
    A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
  • C. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
  • D. A-7
    A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
  • E. A-7
    A-7 is a major Spanish motorway running along much of the Mediterranean coast, connecting key cities and tourist regions.
  • 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: A-1M
Triple: [AMX A-1, modernizedVariant, A-1M]
Generated description
The A-1M is an upgraded version of the Brazilian AMX A-1 attack aircraft featuring modernized avionics, sensors, and systems to enhance its ground-attack and reconnaissance capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-1M
Target entity description: The A-1M is an upgraded version of the Brazilian AMX A-1 attack aircraft featuring modernized avionics, sensors, and systems to enhance its ground-attack and reconnaissance capabilities.
  • A. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • B. A1(M)
    A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
  • C. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
  • D. A-7
    A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
  • E. A-7
    A-7 is a major Spanish motorway running along much of the Mediterranean coast, connecting key cities and tourist regions.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fab17008190981f1808726fa11c completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc337a5cc8190953b84255a401ada completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc558d980819080c64df19907b4ec completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:20 p.m.