Triple

T37799587
Position Surface form Disambiguated ID Type / Status
Subject Bitwa pod Oliwą E942332 entity
Predicate hasSwedishFlagship P189539 FINISHED
Object „Tigern”
„Tigern” był szwedzkim okrętem wojennym pełniącym rolę okrętu flagowego floty szwedzkiej podczas bitwy pod Oliwą w 1627 roku.
 E2243370 NE FINISHED

How this triple was built (3 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: „Tigern” | Statement: [Bitwa pod Oliwą, hasSwedishFlagship, „Tigern”]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: „Tigern”
Triple: [Bitwa pod Oliwą, hasSwedishFlagship, „Tigern”]
Generated description
„Tigern” był szwedzkim okrętem wojennym pełniącym rolę okrętu flagowego floty szwedzkiej podczas bitwy pod Oliwą w 1627 roku.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSwedishFlagship
Context triple: [Bitwa pod Oliwą, hasSwedishFlagship, „Tigern”]
  • A. hasFlagshipInstitution
    Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
  • B. hasFlagshipIn
    Indicates that an entity designates a particular location or branch as its primary or flagship presence.
  • C. hasFlagshipCampusOf
    Indicates that one location serves as the primary or main campus for a particular institution or organization.
  • D. firstFlagship
    Indicates that an entity is the earliest or original flagship among a set of flagships associated with another entity.
  • E. hasFlagshipSpecies
    Indicates that one entity (typically a site, region, or conservation program) is associated with or represented by a particular flagship species used to promote awareness or protection.
  • F. None of above. chosen

Provenance (7 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_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f189c424819097bdb83687fab58c completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f2644dac81908082669b28ccb410 completed June 28, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_6a40f2c3b1c88190a4ac451bd5ff499c completed June 28, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
PDg Predicate description generation batch_69fbc36bcac48190a726b40442c094d1 completed May 6, 2026, 10:40 p.m.
Created at: May 3, 2026, 4:19 p.m.