Triple

T11041507
Position Surface form Disambiguated ID Type / Status
Subject Panzerjäger-Abteilung 200 E261027 entity
Predicate divisionTypeServedWith P97449 FINISHED
Object Panzer division 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: Panzer division | Statement: [Panzerjäger-Abteilung 200, divisionTypeServedWith, Panzer division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: divisionTypeServedWith
Context triple: [Panzerjäger-Abteilung 200, divisionTypeServedWith, Panzer division]
  • A. divisionServed
    Indicates that a particular division provides services or support to, or has responsibility for, a specified entity or area.
  • B. servesType
    Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
  • C. typeOfAssemblyServed
    Indicates the specific type or category of assembly that is being served or catered to by an entity or action.
  • D. isTypicallyServedFor
    Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
  • E. typeOfDivision
    Indicates the specific category or kind of division that characterizes how something is separated, organized, or partitioned.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980050948190ae7b187da5b776ca completed April 9, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69d74407cb088190ba37c8da3d342b64 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.