Triple

T9896810
Position Surface form Disambiguated ID Type / Status
Subject Battle of Golymin E182195 entity
Predicate place P373 FINISHED
Object Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
 E828986 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: Golymin | Statement: [Battle of Golymin, place, Golymin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Golymin
Context triple: [Battle of Golymin, place, Golymin]
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Zvenigora
    Zvenigora is a 1928 Soviet silent film by Ukrainian director Alexander Dovzhenko, celebrated for its poetic, avant-garde style and exploration of Ukrainian history and folklore.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Golymin
Triple: [Battle of Golymin, place, Golymin]
Generated description
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Golymin
Target entity description: Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Zvenigora
    Zvenigora is a 1928 Soviet silent film by Ukrainian director Alexander Dovzhenko, celebrated for its poetic, avant-garde style and exploration of Ukrainian history and folklore.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ab15f881909f75a8e01051dbc4 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d92624c81909f5a8af8703ead09 completed April 5, 2026, 7:21 a.m.
NEDg Description generation batch_69d20fe81dfc81909da77c59d0b8497a completed April 5, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_69d210fed02c8190bde2dfa7e81b1ef2 completed April 5, 2026, 7:36 a.m.
Created at: March 30, 2026, 8:40 p.m.