Triple

T2830885
Position Surface form Disambiguated ID Type / Status
Subject Lublin Voivodeship E62231 entity
Predicate contains P35 FINISHED
Object Tomaszów Lubelski
Tomaszów Lubelski is a town in eastern Poland known for its historical wooden architecture and location near the Roztocze National Park.
 E479235 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: Tomaszów Lubelski | Statement: [Lublin Voivodeship, contains, Tomaszów Lubelski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomaszów Lubelski
Context triple: [Lublin Voivodeship, contains, Tomaszów Lubelski]
  • A. 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.
  • B. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • C. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • D. Janów Lubelski
    Janów Lubelski is a small town in eastern Poland known for its surrounding forests, lakes, and role as a local administrative and tourist center.
  • E. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian 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: Tomaszów Lubelski
Triple: [Lublin Voivodeship, contains, Tomaszów Lubelski]
Generated description
Tomaszów Lubelski is a town in eastern Poland known for its historical wooden architecture and location near the Roztocze National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomaszów Lubelski
Target entity description: Tomaszów Lubelski is a town in eastern Poland known for its historical wooden architecture and location near the Roztocze National Park.
  • A. 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.
  • B. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • C. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • D. Janów Lubelski
    Janów Lubelski is a small town in eastern Poland known for its surrounding forests, lakes, and role as a local administrative and tourist center.
  • E. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69be6f7ccdf4819099dbfcad566293ea completed March 21, 2026, 10:14 a.m.
NEDg Description generation batch_69be71e51e2c81908ba671506e931fd2 completed March 21, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69be7236cb6481908c130b4f33fb79a0 completed March 21, 2026, 10:25 a.m.
Created at: March 6, 2026, 10:01 p.m.