Triple

T37694419
Position Surface form Disambiguated ID Type / Status
Subject Alpine Div. E938888 entity
Predicate hasTypicalUnitType P41758 FINISHED
Object infantry 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: infantry division | Statement: [Alpine Div., hasTypicalUnitType, infantry division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalUnitType
Context triple: [Alpine Div., hasTypicalUnitType, infantry division]
  • A. typicalUnitType chosen
    Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
  • B. typicalSupportedUnitType
    Indicates the kind or category of unit that an entity is normally designed or expected to support.
  • C. hasTypicalUsageType
    Indicates that something is associated with a standard or commonly expected way in which it is used.
  • D. hasBasicUnit
    Indicates that one entity is composed of, defined by, or fundamentally characterized through another entity that serves as its basic or minimal unit.
  • E. hasUnitStructure
    Indicates that an entity possesses a specific internal organization or arrangement that defines its structural composition.
  • 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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fff4530f908190afe9387f732c2b7e completed May 10, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69fff3c01a64819091196875b0c88607 completed May 10, 2026, 2:56 a.m.
Created at: May 3, 2026, 4:18 p.m.