Triple

T19075945
Position Surface form Disambiguated ID Type / Status
Subject Jerubbaal E466901 entity
Predicate armySizeFinal P27927 FINISHED
Object 300 men 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: 300 men | Statement: [Jerubbaal, armySizeFinal, 300 men]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: armySizeFinal
Context triple: [Jerubbaal, armySizeFinal, 300 men]
  • A. militarySize chosen
    Indicates the total number of personnel in a military force, typically including active-duty members and sometimes reserves.
  • B. restrictedArmySizeOf
    Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
  • C. commandingForceSize
    Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
  • D. soldiersCapacity
    Indicates the maximum number of soldiers that an entity can hold, support, or accommodate.
  • E. garrisonSize
    Indicates the number of troops or defenders stationed at a particular location as its garrison.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e49c7c8190b6ce7b918086b23c completed April 20, 2026, 8:25 a.m.
PD Predicate disambiguation batch_69e4b99f602881909eeb9c780597e0e6 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:04 p.m.