Triple

T11969968
Position Surface form Disambiguated ID Type / Status
Subject Lubusz Voivodeship E284891 entity
Predicate hasLargestCities P235 FINISHED
Object Żary
Żary is a town in western Poland known as one of the major urban centers of the Lubusz Voivodeship, with a history dating back to the Middle Ages.
 E960094 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: Żary | Statement: [Lubusz Voivodeship, hasLargestCities, Żary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Żary
Context triple: [Lubusz Voivodeship, hasLargestCities, Żary]
  • A. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Zarzecze
    Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
  • D. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • 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: Żary
Triple: [Lubusz Voivodeship, hasLargestCities, Żary]
Generated description
Żary is a town in western Poland known as one of the major urban centers of the Lubusz Voivodeship, with a history dating back to the Middle Ages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Żary
Target entity description: Żary is a town in western Poland known as one of the major urban centers of the Lubusz Voivodeship, with a history dating back to the Middle Ages.
  • A. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Zarzecze
    Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
  • D. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037bee54819085242a3ef3e286f9 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a9628cc819095d15fd90023e57d completed May 1, 2026, 11:12 a.m.
NEDg Description generation batch_69f48fc3baac8190af87b55164f00b26 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495ab52788190a886f7014267f8e2 completed May 1, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:46 p.m.