Triple

T20490512
Position Surface form Disambiguated ID Type / Status
Subject German submarine U-75 E502729 entity
Predicate testDepth_m P968 FINISHED
Object 230 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: 230 | Statement: [German submarine U-75, testDepth_m, 230]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testDepth_m
Context triple: [German submarine U-75, testDepth_m, 230]
  • A. testDepth
    Indicates that an entity is evaluated or measured based on how deep or thorough it is, often in terms of levels, layers, or extent below a surface or baseline.
  • B. hasDepth
    Indicates that an entity possesses a measurable extent or distance from its surface inward or from top to bottom.
  • C. maximumDepth chosen
    Indicates the greatest extent or deepest level reached by something within a given context or structure.
  • D. searchDepth
    Indicates the extent or level to which a search process explores through layers, steps, or hierarchy within a structure or space.
  • E. hasMaximumDepth
    Indicates that an entity possesses a greatest or limiting depth value beyond which it does not extend.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cb8e7848190a1dc497a10ae798c completed April 20, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:35 a.m.