Triple

T21613561
Position Surface form Disambiguated ID Type / Status
Subject Gadebusch 1712 E533372 entity
Predicate hasSaxonCommanderRank P144781 FINISHED
Object Field Marshal 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: Field Marshal | Statement: [Gadebusch 1712, hasSaxonCommanderRank, Field Marshal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSaxonCommanderRank
Context triple: [Gadebusch 1712, hasSaxonCommanderRank, Field Marshal]
  • A. hasCommanderRank
    Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
  • B. hasRankForCommandant
    Indicates that an entity holds the specific rank required to serve as a commandant.
  • C. hasCommander
    Indicates that one entity serves as the commanding officer or leader of another entity.
  • D. hasCommandant
    Indicates that an entity is under the authority or leadership of a specific commandant.
  • E. hasWingCommanderRank
    Indicates that one entity holds the military rank of Wing Commander in relation to another entity or organizational context.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69b4aa2b48190830107391e81571a completed April 20, 2026, 9:31 p.m.
Created at: April 16, 2026, 6:33 p.m.