Triple

T13347517
Position Surface form Disambiguated ID Type / Status
Subject powiat suski E317990 entity
Predicate hasSettlement P1068 FINISHED
Object Kuków NE ONDG

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: Kuków | Statement: [powiat suski, hasSettlement, Kuków]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuków
Context triple: [powiat suski, hasSettlement, Kuków]
  • A. Kuków
    Kuków is a village in southern Poland located within the administrative district of Gmina Stryszawa in the Lesser Poland region.
  • B. Kowary
    Kowary is a small town in southwestern Poland, located in the Lower Silesian Voivodeship near the Karkonosze Mountains, known historically for mining and tourism.
  • C. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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: Kuków
Triple: [powiat suski, hasSettlement, Kuków]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuków
Target entity description: Kuków is a small village located in the Suski County (powiat suski) of southern Poland, within the Lesser Poland Voivodeship.
  • A. Kuków chosen
    Kuków is a village in southern Poland located within the administrative district of Gmina Stryszawa in the Lesser Poland region.
  • B. Kowary
    Kowary is a small town in southwestern Poland, located in the Lower Silesian Voivodeship near the Karkonosze Mountains, known historically for mining and tourism.
  • C. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • F. None of above.

Provenance (4 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:31 p.m.