Triple

T19111528
Position Surface form Disambiguated ID Type / Status
Subject Beaufort scale E467801 entity
Predicate hasLowestForceNumber P134453 FINISHED
Object 0 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: 0 | Statement: [Beaufort scale, hasLowestForceNumber, 0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowestForceNumber
Context triple: [Beaufort scale, hasLowestForceNumber, 0]
  • A. isLowestLockOn
    Indicates that a given lock is the one with the lowest (minimum) level or priority among a set of locks.
  • B. hasForceStrength
    Indicates that one entity possesses a certain level or degree of physical or exerted force strength in relation to another entity or context.
  • C. isSmallForce
    Indicates that the force involved has a relatively low magnitude compared to typical or relevant reference forces.
  • D. hasLowForm
    Indicates that an entity possesses a lower or less developed form, version, or level of something relative to a standard or comparison.
  • E. isSmallestOf
    Indicates that an entity has the minimum size or value within a specified set or group of entities.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e4b9ac41848190afd0f33b42cebe99 completed April 19, 2026, 11:17 a.m.
PDg Predicate description generation batch_69e4bfe8a06081909fd5c28a33e9f218 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 12:04 p.m.