Triple

T18037477
Position Surface form Disambiguated ID Type / Status
Subject Gmina Bielawy E431548 entity
Predicate administrativeSeat P21613 FINISHED
Object Bielawy
Bielawy is a village in central Poland that serves as the local administrative center of Gmina Bielawy in Łódź Voivodeship.
E1333096 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: Bielawy | Statement: [Gmina Bielawy, administrativeSeat, Bielawy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bielawy
Context triple: [Gmina Bielawy, administrativeSeat, Bielawy]
  • A. Biała
    Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
  • B. Biała
    Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
  • C. Biała
    Biała is a small town in southwestern Poland known for its location within the Opole region and its traditional Silesian character.
  • D. Białołęka
    Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
  • E. Byczyna
    Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
  • 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: Bielawy
Triple: [Gmina Bielawy, administrativeSeat, Bielawy]
Generated description
Bielawy is a village in central Poland that serves as the local administrative center of Gmina Bielawy in Łódź Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bielawy
Target entity description: Bielawy is a village in central Poland that serves as the local administrative center of Gmina Bielawy in Łódź Voivodeship.
  • A. Biała
    Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
  • B. Biała
    Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
  • C. Biała
    Biała is a small town in southwestern Poland known for its location within the Opole region and its traditional Silesian character.
  • D. Białołęka
    Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
  • E. Byczyna
    Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3bc3208190a6db569e79f06232 completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05036848f081909f1f3eba56cf8a79 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05052b41bc819080284bc18db67d5b completed May 13, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 10:25 a.m.