Triple

T1029825
Position Surface form Disambiguated ID Type / Status
Subject Świętokrzyskie Voivodeship E22223 entity
Predicate contains P35 FINISHED
Object Końskie
Końskie is a town in south-central Poland known historically as a local industrial and administrative center.
E194017 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: Końskie | Statement: [Świętokrzyskie Voivodeship, contains, Końskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Końskie
Context triple: [Świętokrzyskie Voivodeship, contains, Końskie]
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Śrem
    Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
  • E. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • 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: Końskie
Triple: [Świętokrzyskie Voivodeship, contains, Końskie]
Generated description
Końskie is a town in south-central Poland known historically as a local industrial and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Końskie
Target entity description: Końskie is a town in south-central Poland known historically as a local industrial and administrative center.
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Śrem
    Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
  • E. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f962608190b3ebd9140472b979 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a96e40081909c2d532d68b0b248 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad95738df081909e56178cc1e0ab74 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a1a44c8190a9d8fe05837ec9ff completed March 8, 2026, 3:37 p.m.
Created at: March 1, 2026, 7:41 p.m.