Triple

T2439421
Position Surface form Disambiguated ID Type / Status
Subject StuG III E53237 entity
Predicate manufacturer P490 FINISHED
Object Alkett
Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
 E266905 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: Alkett | Statement: [StuG III, manufacturer, Alkett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alkett
Context triple: [StuG III, manufacturer, Alkett]
  • A. Almatti
    Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
  • B. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • C. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • D. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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: Alkett
Triple: [StuG III, manufacturer, Alkett]
Generated description
Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alkett
Target entity description: Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
  • A. Almatti
    Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
  • B. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • C. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • D. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f62ad081909373134c5adf65d9 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b0e920819088bd7ee3684c81fe completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef4d2cd3c81908773ac7ff9e4b28d completed March 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69aef54c3f1c819085019bd8e48d7db7 completed March 9, 2026, 4:29 p.m.
Created at: March 6, 2026, 9:43 p.m.