Triple

T35520208
Position Surface form Disambiguated ID Type / Status
Subject Schlacht bei Hastenbeck E1026530 entity
Predicate gehörtZurMilitärgeschichte P65457 FINISHED
Object Militärgeschichte Frankreichs 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: Militärgeschichte Frankreichs | Statement: [Schlacht bei Hastenbeck, gehörtZurMilitärgeschichte, Militärgeschichte Frankreichs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gehörtZurMilitärgeschichte
Context triple: [Schlacht bei Hastenbeck, gehörtZurMilitärgeschichte, Militärgeschichte Frankreichs]
  • A. militaryHistoryTopic
    Indicates that there exists a relationship where the subject is a topic, theme, or subject matter specifically concerned with military history.
  • B. associatedWithMilitaryHistory chosen
    Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
  • C. eraOfWarfare
    Indicates a historical period characterized by significant or sustained warfare.
  • D. militaryEventMentionedIn
    Indicates that a specific military event is referenced or discussed within a particular document, text, or source.
  • E. hasMilitarySignificanceSince
    Indicates that something has held military importance or strategic value starting from a specified point in time.
  • F. None of above.

Provenance (3 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_69f76dfe78b081908e2b14cb88dd8c00 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ec355048190af30123ceb6efa2b completed May 3, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69f79e4bdbcc8190be7a0d2cf8a77b64 completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:04 p.m.