Triple

T21014269
Position Surface form Disambiguated ID Type / Status
Subject Linden, Germany E517630 entity
Predicate hasSubdivision P747 FINISHED
Object Leihgestern
Leihgestern is a district of the town of Linden in the state of Hesse, Germany.
 E1461794 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: Leihgestern | Statement: [Linden, Germany, hasSubdivision, Leihgestern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leihgestern
Context triple: [Linden, Germany, hasSubdivision, Leihgestern]
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. The Heldrich
    The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
  • C. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • D. Rielasingen
    Rielasingen is a locality within the municipality of Rielasingen-Worblingen in the district of Konstanz in Baden-Württemberg, Germany.
  • E. Därligen
    Därligen is a small Swiss village and municipality on the southern shore of Lake Thun in the canton of Bern.
  • 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: Leihgestern
Triple: [Linden, Germany, hasSubdivision, Leihgestern]
Generated description
Leihgestern is a district of the town of Linden in the state of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leihgestern
Target entity description: Leihgestern is a district of the town of Linden in the state of Hesse, Germany.
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. The Heldrich
    The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
  • C. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • D. Rielasingen
    Rielasingen is a locality within the municipality of Rielasingen-Worblingen in the district of Konstanz in Baden-Württemberg, Germany.
  • E. Därligen
    Därligen is a small Swiss village and municipality on the southern shore of Lake Thun in the canton of Bern.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5764188190829de6f5abd6e00f completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b6369fc81909ff15a48a8a640e2 completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093ed7f68c8190b175251a158cbcc1 completed May 17, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_6a093f3ba1f88190ae07076c83bd0517 completed May 17, 2026, 4:08 a.m.
Created at: April 16, 2026, 1:54 p.m.