Triple

T4385791
Position Surface form Disambiguated ID Type / Status
Subject Wawer massacre E99238 entity
Predicate location P40 FINISHED
Object Wawer
Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
 E585066 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: Wawer | Statement: [Wawer massacre, location, Wawer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wawer
Context triple: [Wawer massacre, location, Wawer]
  • A. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • B. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • E. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • 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: Wawer
Triple: [Wawer massacre, location, Wawer]
Generated description
Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wawer
Target entity description: Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
  • A. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • B. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • E. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35264e44c81908dd0e0a81f1353bb completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3777eac81908880498eaa6c1046 completed March 27, 2026, 1:55 a.m.
NEDg Description generation batch_69c5f8a29c388190a9226367bfdfc082 completed March 27, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c5f8f3accc81909d87fc4cda30cb05 completed March 27, 2026, 3:26 a.m.
Created at: March 12, 2026, 11:19 p.m.