Triple

T1456308
Position Surface form Disambiguated ID Type / Status
Subject Lower Silesia E31408 entity
Predicate contains P35 FINISHED
Object Oleśnica
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
E248614 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: Oleśnica | Statement: [Lower Silesia, contains, Oleśnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleśnica
Context triple: [Lower Silesia, contains, Oleśnica]
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • C. Opatów
    Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
  • D. 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.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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: Oleśnica
Triple: [Lower Silesia, contains, Oleśnica]
Generated description
Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oleśnica
Target entity description: Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • C. Opatów
    Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
  • D. 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.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c581714881909bf4c2bad9645176 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae6adaa79081909c2d7d208287371d completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b9da51c819085beb79a14f5d8b5 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2a465c8190a9fe2a465e9ac3f0 completed March 9, 2026, 6:43 a.m.
Created at: March 1, 2026, 8 p.m.