Triple

T1790382
Position Surface form Disambiguated ID Type / Status
Subject Stanisław Wojciechowski E39481 entity
Predicate placeOfDeath P21 FINISHED
Object Gołąbki
Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
 E197773 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: Gołąbki | Statement: [Stanisław Wojciechowski, placeOfDeath, Gołąbki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gołąbki
Context triple: [Stanisław Wojciechowski, placeOfDeath, Gołąbki]
  • A. Krupówki
    Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Chałupy
    Chałupy is a small Polish seaside village and popular windsurfing and kitesurfing spot on the Baltic coast.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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: Gołąbki
Triple: [Stanisław Wojciechowski, placeOfDeath, Gołąbki]
Generated description
Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gołąbki
Target entity description: Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • A. Krupówki
    Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Chałupy
    Chałupy is a small Polish seaside village and popular windsurfing and kitesurfing spot on the Baltic coast.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9aa10b881909923b8d0f3a30ee6 completed March 8, 2026, 4:54 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb31430819083d033a3890eba49 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:32 p.m.