Triple

T28154496
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian Army ranks E714704 entity
Predicate enlistedRank P52914 FINISHED
Object Rekrut
Rekrut was the lowest enlisted rank in the Austro-Hungarian Army, roughly equivalent to a private or new recruit.
 E1804758 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: Rekrut | Statement: [Austro-Hungarian Army ranks, enlistedRank, Rekrut]
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: Rekrut
Triple: [Austro-Hungarian Army ranks, enlistedRank, Rekrut]
Generated description
Rekrut was the lowest enlisted rank in the Austro-Hungarian Army, roughly equivalent to a private or new recruit.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: enlistedRank
Context triple: [Austro-Hungarian Army ranks, enlistedRank, Rekrut]
  • A. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • B. militaryRankScope
    Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
  • C. civilServiceRank
    Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
  • D. isMilitaryRank chosen
    Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
  • E. militaryRankRange
    Indicates that an entity’s military rank falls within a specified range or between two defined rank levels.
  • 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_69f641e4d67c8190998d64daeb3ed6dc completed May 2, 2026, 6:26 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_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 10:01 p.m.