Triple

T37799596
Position Surface form Disambiguated ID Type / Status
Subject Bitwa pod Oliwą E942332 entity
Predicate hasPolishFleetSize P1848 FINISHED
Object około 10 okrętów 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: około 10 okrętów | Statement: [Bitwa pod Oliwą, hasPolishFleetSize, około 10 okrętów]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolishFleetSize
Context triple: [Bitwa pod Oliwą, hasPolishFleetSize, około 10 okrętów]
  • A. hasPolishShip
    Indicates that an entity possesses or is associated with a ship that is Polish.
  • B. fleetSize chosen
    Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
  • C. hasPolishFlagship
    Indicates that an entity serves as the primary or most important representative (flagship) of something specifically within the context of Poland or the Polish domain.
  • D. PolishUnit
    Indicates that a unit is associated with Poland, typically by nationality, origin, or affiliation.
  • E. hasMilitaryUnitSize
    Indicates the specific number of personnel or scale associated with a particular military unit.
  • 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_69f76ee6f1f4819091e2cf9c9e6aee19 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ffe12ee59c8190bc7da386e6d5332d completed May 10, 2026, 1:36 a.m.
PD Predicate disambiguation batch_69ffe0a138bc8190a3d4b48cd579e985 completed May 10, 2026, 1:34 a.m.
Created at: May 3, 2026, 4:19 p.m.