Triple

T5606377
Position Surface form Disambiguated ID Type / Status
Subject Mons Meg E147242 entity
Predicate artilleryCaliber P6076 FINISHED
Object about 510 millimetres 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: about 510 millimetres | Statement: [Mons Meg, artilleryCaliber, about 510 millimetres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: artilleryCaliber
Context triple: [Mons Meg, artilleryCaliber, about 510 millimetres]
  • A. artilleryType
    Indicates the specific category or kind of artillery associated with an entity or event.
  • B. artilleryUsedBy
    Indicates that a particular artillery asset is operated or employed by a specified user, such as a military unit, organization, or country.
  • C. gunCalibre chosen
    Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
  • D. artilleryUsedIn
    Indicates that a particular piece or type of artillery is employed or deployed in a specific event, operation, or context.
  • E. natoCaliberClass
    Indicates that two ammunition types share the same standardized NATO caliber classification.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fbb8748190841e5e09db3feef1 completed March 22, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69c01b1b3c98819080687d18ab10a914 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:39 p.m.