Triple

T13468597
Position Surface form Disambiguated ID Type / Status
Subject Radom Voivodeship E311569 entity
Predicate containsCity P294 FINISHED
Object Pionki
Pionki is a town in east-central Poland known historically for its chemical industry and location between Radom and Kozienice.
 E1042704 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: Pionki | Statement: [Radom Voivodeship, containsCity, Pionki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pionki
Context triple: [Radom Voivodeship, containsCity, Pionki]
  • A. Pawns
    "Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
  • B. Chessmen
    Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
  • C. Šahy
    Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
  • D. Schiers
    Schiers is a Swiss municipality in the canton of Graubünden, known as a local center in the Prättigau valley with a mix of rural character and regional services.
  • E. Parchís
    Parchís was a popular Spanish children's music group from the late 1970s and 1980s known for their catchy songs and colorful, board-game-inspired image.
  • 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: Pionki
Triple: [Radom Voivodeship, containsCity, Pionki]
Generated description
Pionki is a town in east-central Poland known historically for its chemical industry and location between Radom and Kozienice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pionki
Target entity description: Pionki is a town in east-central Poland known historically for its chemical industry and location between Radom and Kozienice.
  • A. Pawns
    "Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
  • B. Chessmen
    Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
  • C. Šahy
    Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
  • D. Schiers
    Schiers is a Swiss municipality in the canton of Graubünden, known as a local center in the Prättigau valley with a mix of rural character and regional services.
  • E. Parchís
    Parchís was a popular Spanish children's music group from the late 1970s and 1980s known for their catchy songs and colorful, board-game-inspired image.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74629f1408190b54194fe794be39a completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7493168a481908f99283914b39db5 completed May 3, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7499aa5ac8190a93afda115694795 completed May 3, 2026, 1:11 p.m.
Created at: April 9, 2026, 9:42 p.m.