Triple

T20044645
Position Surface form Disambiguated ID Type / Status
Subject Pajęczno County E497525 entity
Predicate capital P234 FINISHED
Object Pajęczno
Pajęczno is a small town in central Poland that serves as an administrative, commercial, and local cultural center for the surrounding region.
 E1408826 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: Pajęczno | Statement: [Pajęczno County, capital, Pajęczno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pajęczno
Context triple: [Pajęczno County, capital, Pajęczno]
  • A. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • B. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • D. Dzierzążnia
    Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
  • E. Krępice
    Krępice is a village located in southwestern Poland, within the administrative district of Gmina Miękinia in 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: Pajęczno
Triple: [Pajęczno County, capital, Pajęczno]
Generated description
Pajęczno is a small town in central Poland that serves as an administrative, commercial, and local cultural center for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pajęczno
Target entity description: Pajęczno is a small town in central Poland that serves as an administrative, commercial, and local cultural center for the surrounding region.
  • A. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • B. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • D. Dzierzążnia
    Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
  • E. Krępice
    Krępice is a village located in southwestern Poland, within the administrative district of Gmina Miękinia in 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0816015e4c8190a65c4713ee9823a6 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816c0375c8190b940f3d0d6391b4c completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:37 p.m.