Triple

T14470399
Position Surface form Disambiguated ID Type / Status
Subject Braunschweig Palace E358823 entity
Predicate locatedAtStreet P959 FINISHED
Object Bohlweg
Bohlweg is a major central street in Braunschweig, Germany, known as an important urban thoroughfare and commercial area.
E1101293 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: Bohlweg | Statement: [Braunschweig Palace, locatedAtStreet, Bohlweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohlweg
Context triple: [Braunschweig Palace, locatedAtStreet, Bohlweg]
  • A. Hagestein
    Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
  • B. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • E. Neuhof
    Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
  • 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: Bohlweg
Triple: [Braunschweig Palace, locatedAtStreet, Bohlweg]
Generated description
Bohlweg is a major central street in Braunschweig, Germany, known as an important urban thoroughfare and commercial area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bohlweg
Target entity description: Bohlweg is a major central street in Braunschweig, Germany, known as an important urban thoroughfare and commercial area.
  • A. Hagestein
    Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
  • B. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • E. Neuhof
    Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649beec88190861abb52c5a2733e completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd67b1ed2081908d3de6514078be49 completed May 8, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69fd682f28948190adc037c18c7deb93 completed May 8, 2026, 4:35 a.m.
Created at: April 10, 2026, 1:20 a.m.