Triple

T2337137
Position Surface form Disambiguated ID Type / Status
Subject Bitwa nad Bzurą E44335 entity
Predicate nearbySettlement P350 FINISHED
Object Brochów
Brochów is a historic village in central Poland, known for its fortified Gothic-Renaissance church and its location near key World War II battle sites.
 E398532 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: Brochów | Statement: [Bitwa nad Bzurą, nearbySettlement, Brochów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brochów
Context triple: [Bitwa nad Bzurą, nearbySettlement, Brochów]
  • A. Chorobrów
    Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
  • B. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Brzeżany
    Brzeżany is a historic town in present-day western Ukraine, formerly part of Poland, known for its multicultural heritage and notable residents such as Marshal Eduard Rydz-Śmigły.
  • E. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • 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: Brochów
Triple: [Bitwa nad Bzurą, nearbySettlement, Brochów]
Generated description
Brochów is a historic village in central Poland, known for its fortified Gothic-Renaissance church and its location near key World War II battle sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brochów
Target entity description: Brochów is a historic village in central Poland, known for its fortified Gothic-Renaissance church and its location near key World War II battle sites.
  • A. Chorobrów
    Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
  • B. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Brzeżany
    Brzeżany is a historic town in present-day western Ukraine, formerly part of Poland, known for its multicultural heritage and notable residents such as Marshal Eduard Rydz-Śmigły.
  • E. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68ac4348190ab6ec46ec7879643 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b528071e488190ac531404dac9587c completed March 14, 2026, 9:19 a.m.
NEDg Description generation batch_69b528d33c2081908e5f74005679dfbe completed March 14, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69b5294c66588190ad7cc8e87b58ff52 completed March 14, 2026, 9:24 a.m.
Created at: March 4, 2026, 7:51 p.m.