Triple

T2337135
Position Surface form Disambiguated ID Type / Status
Subject Bitwa nad Bzurą E44335 entity
Predicate nearbySettlement P350 FINISHED
Object Łowicz
Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
 E410645 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: Łowicz | Statement: [Bitwa nad Bzurą, nearbySettlement, Łowicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Łowicz
Context triple: [Bitwa nad Bzurą, nearbySettlement, Łowicz]
  • A. Włocławek
    Włocławek is a historic city in north-central Poland on the Vistula River, known for its medieval heritage and role as a regional industrial and cultural center.
  • B. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • C. Inowrocław
    Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • 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: Łowicz
Triple: [Bitwa nad Bzurą, nearbySettlement, Łowicz]
Generated description
Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Łowicz
Target entity description: Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • A. Włocławek
    Włocławek is a historic city in north-central Poland on the Vistula River, known for its medieval heritage and role as a regional industrial and cultural center.
  • B. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • C. Inowrocław
    Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • 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_69b5626f1848819081f1b6e0128a8e91 completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b5637cd5b881909a930ecb33eed991 completed March 14, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69b564603b4881909e80970aa21e3db4 completed March 14, 2026, 1:36 p.m.
Created at: March 4, 2026, 7:51 p.m.