Triple

T11734248
Position Surface form Disambiguated ID Type / Status
Subject Battle of Oliwa E278984 entity
Predicate shipInvolved P862 FINISHED
Object Wodnik
Wodnik was a Polish warship that took part in the 1627 naval Battle of Oliwa during the Polish–Swedish War.
E942335 NE FINISHED

How this triple was built (4 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: Wodnik | Statement: [Battle of Oliwa, shipInvolved, Wodnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wodnik
Context triple: [Battle of Oliwa, shipInvolved, Wodnik]
  • A. Wachlarz
    Wachlarz was a Polish World War II underground diversionary unit that conducted sabotage and intelligence operations, particularly in the eastern territories occupied by Nazi Germany.
  • B. Wierzbnik
    Wierzbnik is the former name of the Polish town now known as Starachowice, located in south-central Poland.
  • C. Jawor
    Jawor is a historic town in southwestern Poland known for its UNESCO-listed timber-framed Church of Peace and well-preserved medieval architecture.
  • D. Wolski
    Wolski is a Polish surname borne by various notable individuals in fields such as film, sports, and academia.
  • E. Oznowicz
    Oznowicz is the original surname of filmmaker and puppeteer Frank Oz, known for his work with the Muppets and as the voice of Yoda in Star Wars.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Wodnik
Triple: [Battle of Oliwa, shipInvolved, Wodnik]
Generated description
Wodnik was a Polish warship that took part in the 1627 naval Battle of Oliwa during the Polish–Swedish War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wodnik
Target entity description: Wodnik was a Polish warship that took part in the 1627 naval Battle of Oliwa during the Polish–Swedish War.
  • A. Wachlarz
    Wachlarz was a Polish World War II underground diversionary unit that conducted sabotage and intelligence operations, particularly in the eastern territories occupied by Nazi Germany.
  • B. Wierzbnik
    Wierzbnik is the former name of the Polish town now known as Starachowice, located in south-central Poland.
  • C. Jawor
    Jawor is a historic town in southwestern Poland known for its UNESCO-listed timber-framed Church of Peace and well-preserved medieval architecture.
  • D. Wolski
    Wolski is a Polish surname borne by various notable individuals in fields such as film, sports, and academia.
  • E. Oznowicz
    Oznowicz is the original surname of filmmaker and puppeteer Frank Oz, known for his work with the Muppets and as the voice of Yoda in Star Wars.
  • F. None of above. chosen

Provenance (5 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.