Triple

T2317473
Position Surface form Disambiguated ID Type / Status
Subject Goslar E51097 entity
Predicate twinTown P1072 FINISHED
Object Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
 E412025 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: Brzeg | Statement: [Goslar, twinTown, Brzeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brzeg
Context triple: [Goslar, twinTown, Brzeg]
  • A. Ustka
    Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
  • B. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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: Brzeg
Triple: [Goslar, twinTown, Brzeg]
Generated description
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brzeg
Target entity description: Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • A. Ustka
    Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
  • B. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b56b217af0819084d8aed695b8377b completed March 14, 2026, 2:05 p.m.
NEDg Description generation batch_69b56bdcfa94819096df212e6e99937e completed March 14, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69b56c5e73e88190896176180a9e58cd completed March 14, 2026, 2:10 p.m.
Created at: March 4, 2026, 7:49 p.m.