Triple

T19511664
Position Surface form Disambiguated ID Type / Status
Subject Duke of Auerstädt E488169 entity
Predicate hasHonorificBasis P136183 FINISHED
Object military achievement LITERAL FINISHED

How this triple was built (2 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: military achievement | Statement: [Duke of Auerstädt, hasHonorificBasis, military achievement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHonorificBasis
Context triple: [Duke of Auerstädt, hasHonorificBasis, military achievement]
  • A. hasHonorificFrom
    Indicates that one entity uses or receives a particular honorific title or form of address originating from another entity or source.
  • B. hasHonorificName
    Indicates that an entity is referred to by a formal or respectful title or name used as an honorific.
  • C. hasHonorificType
    Indicates that an entity is associated with a specific type or category of honorific title or form of address.
  • D. hasHonorificStatus
    Indicates that an entity holds or is assigned a particular honorific title, rank, or status in relation to another entity.
  • E. hasHonorificNameIn
    Indicates that an entity is referred to by a specific honorific or respectful name within a particular language, culture, or contextual setting.
  • F. None of above. chosen

Provenance (4 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359908fc8190bd05f26d4271d268 completed April 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69e4fd7bd25881908caa04eaef1f6718 completed April 19, 2026, 4:06 p.m.
PDg Predicate description generation batch_69e5004d3a708190a1c13c8f644f3926 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:40 p.m.