Triple

T6657152
Position Surface form Disambiguated ID Type / Status
Subject Pilica River E150974 entity
Predicate near P350 FINISHED
Object Sulejów
Sulejów is a historic town in central Poland, known for its former Cistercian abbey and scenic location in the Łódź Voivodeship.
 E612461 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: Sulejów | Statement: [Pilica River, near, Sulejów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sulejów
Context triple: [Pilica River, near, Sulejów]
  • A. Sułoszowa
    Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
  • B. Walewice
    Walewice is a village in central Poland, historically notable as the birthplace of statesman and diplomat Alexandre Colonna-Walewski, the son of Napoleon Bonaparte and Countess Maria Walewska.
  • C. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Czernichów
    Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
  • 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: Sulejów
Triple: [Pilica River, near, Sulejów]
Generated description
Sulejów is a historic town in central Poland, known for its former Cistercian abbey and scenic location in the Łódź Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sulejów
Target entity description: Sulejów is a historic town in central Poland, known for its former Cistercian abbey and scenic location in the Łódź Voivodeship.
  • A. Sułoszowa
    Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
  • B. Walewice
    Walewice is a village in central Poland, historically notable as the birthplace of statesman and diplomat Alexandre Colonna-Walewski, the son of Napoleon Bonaparte and Countess Maria Walewska.
  • C. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Czernichów
    Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06f3da88190b17649f44ee93fd1 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79817f08190a9e499f09b25e67a completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:01 p.m.