Triple

T10449777
Position Surface form Disambiguated ID Type / Status
Subject Lusatian Neisse E246387 entity
Predicate passesNear P416 FINISHED
Object Łęknica
Łęknica is a small town in western Poland near the German border, known for its proximity to the Lusatian Neisse River and the UNESCO-listed Muskau Park.
E1046200 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: Łęknica | Statement: [Lusatian Neisse, passesNear, Łęknica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łęknica
Context triple: [Lusatian Neisse, passesNear, Łęknica]
  • A. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • B. Oleśnica
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • C. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • 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: Łęknica
Triple: [Lusatian Neisse, passesNear, Łęknica]
Generated description
Łęknica is a small town in western Poland near the German border, known for its proximity to the Lusatian Neisse River and the UNESCO-listed Muskau Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Łęknica
Target entity description: Łęknica is a small town in western Poland near the German border, known for its proximity to the Lusatian Neisse River and the UNESCO-listed Muskau Park.
  • A. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • B. Oleśnica
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • C. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d756bd08190a79adc9a2e6188ed completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75e30545c8190b47bd1e06411a163 completed May 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f75e9fc1508190800291a16840a9a8 completed May 3, 2026, 2:41 p.m.
Created at: April 6, 2026, 12:17 p.m.