Triple

T12406292
Position Surface form Disambiguated ID Type / Status
Subject Bovenden E296395 entity
Predicate hasMunicipalPart P84684 FINISHED
Object Lenglern
Lenglern is a village in Lower Saxony, Germany, that forms one of the districts of the municipality of Bovenden near Göttingen.
 E980780 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: Lenglern | Statement: [Bovenden, hasMunicipalPart, Lenglern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenglern
Context triple: [Bovenden, hasMunicipalPart, Lenglern]
  • A. Langhanke
    Langhanke is the original German family surname of American actress Mary Astor, who was born Lucile Vasconcellos Langhanke.
  • B. Langhans
    Langhans is a German surname most notably associated with Carl Gotthard Langhans, the architect of Berlin’s Brandenburg Gate.
  • C. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • D. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • E. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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: Lenglern
Triple: [Bovenden, hasMunicipalPart, Lenglern]
Generated description
Lenglern is a village in Lower Saxony, Germany, that forms one of the districts of the municipality of Bovenden near Göttingen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenglern
Target entity description: Lenglern is a village in Lower Saxony, Germany, that forms one of the districts of the municipality of Bovenden near Göttingen.
  • A. Langhanke
    Langhanke is the original German family surname of American actress Mary Astor, who was born Lucile Vasconcellos Langhanke.
  • B. Langhans
    Langhans is a German surname most notably associated with Carl Gotthard Langhans, the architect of Berlin’s Brandenburg Gate.
  • C. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • D. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • E. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.