Triple

T28154493
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian Army ranks E714704 entity
Predicate NCOrank P164075 FINISHED
Object Feldwebel
Feldwebel is a traditional non-commissioned officer rank used in German-speaking militaries, roughly equivalent to a sergeant.
 E1804756 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: Feldwebel | Statement: [Austro-Hungarian Army ranks, NCOrank, Feldwebel]
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: Feldwebel
Triple: [Austro-Hungarian Army ranks, NCOrank, Feldwebel]
Generated description
Feldwebel is a traditional non-commissioned officer rank used in German-speaking militaries, roughly equivalent to a sergeant.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: NCOrank
Context triple: [Austro-Hungarian Army ranks, NCOrank, Feldwebel]
  • A. NCOrank chosen
    Indicates a hierarchical ranking relationship between entities within the context of a non-commissioned officer (NCO) rank structure.
  • B. rankInNorthCarolinaByPopulation
    Indicates the position an entity holds in an ordered list of North Carolina entities when sorted by their population size.
  • C. GreeneRank
    Indicates a ranking or ordered position assigned according to Greene’s specific criteria or system.
  • D. regionOfNorthCarolina
    Indicates that a location or entity is situated within the geographic boundaries of North Carolina.
  • E. countyRank
    Indicates the relative position or standing of a county within a larger ordered set, typically based on some quantitative measure such as size, population, or performance.
  • 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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7af615081908e8d3abbc744ff92 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15d8f3f6ac819089bad6bb160d76b6 completed May 26, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a15d9c2a704819095e2c65e42d63a17 completed May 26, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 10:01 p.m.