Triple

T2212340
Position Surface form Disambiguated ID Type / Status
Subject DAK E50945 entity
Predicate primaryUnitType P26710 FINISHED
Object armored corps 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: armored corps | Statement: [DAK, primaryUnitType, armored corps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryUnitType
Context triple: [DAK, primaryUnitType, armored corps]
  • A. primaryUnit chosen
    Indicates that one entity serves as the main or principal unit associated with another entity, typically among multiple possible units.
  • B. basedUnitType
    Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
  • C. featuredUnitType
    Indicates that a particular unit type is highlighted or given special prominence relative to other unit types.
  • D. primaryType
    Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
  • E. hostsUnitType
    Indicates that one entity serves as a location or platform that accommodates or contains a specified type of unit.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69abbdaa26d48190860c33fd464c4845 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.