Triple

T18778660
Position Surface form Disambiguated ID Type / Status
Subject Gmina Jerzmanowa E459195 entity
Predicate containsSettlement P847 FINISHED
Object Kłoda
Kłoda is a village located within the administrative district of Gmina Jerzmanowa in southwestern Poland.
E1343004 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: Kłoda | Statement: [Gmina Jerzmanowa, containsSettlement, Kłoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kłoda
Context triple: [Gmina Jerzmanowa, containsSettlement, Kłoda]
  • A. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • B. 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.
  • C. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • D. Sekuła
    Sekuła is a Polish surname most notably borne by Andrzej Sekuła, a cinematographer and film director known for his work on influential independent films.
  • E. Krowodrza
    Krowodrza is a central district of Kraków, Poland, known for its mix of historic urban neighborhoods, academic institutions, and cultural venues.
  • 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: Kłoda
Triple: [Gmina Jerzmanowa, containsSettlement, Kłoda]
Generated description
Kłoda is a village located within the administrative district of Gmina Jerzmanowa in southwestern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kłoda
Target entity description: Kłoda is a village located within the administrative district of Gmina Jerzmanowa in southwestern Poland.
  • A. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • B. 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.
  • C. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • D. Sekuła
    Sekuła is a Polish surname most notably borne by Andrzej Sekuła, a cinematographer and film director known for his work on influential independent films.
  • E. Krowodrza
    Krowodrza is a central district of Kraków, Poland, known for its mix of historic urban neighborhoods, academic institutions, and cultural venues.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933d2d048190a42480edc70bf086 completed April 20, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05471411a88190991c5ed251f515be completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a054ad66f608190be441b0cfcf609a4 completed May 14, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a054b952560819090f1b99a87b8a24c completed May 14, 2026, 4:12 a.m.
Created at: April 10, 2026, 11:52 a.m.