Triple

T15380928
Position Surface form Disambiguated ID Type / Status
Subject Hildesheim district E367796 entity
Predicate contains P35 FINISHED
Object Holle
Holle is a small municipality in Lower Saxony, Germany, known for its rural character and location near the city of Hildesheim.
 E1152986 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: Holle | Statement: [Hildesheim district, contains, Holle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holle
Context triple: [Hildesheim district, contains, Holle]
  • A. Holles
    Holles is an English surname historically associated with a prominent political and aristocratic family in Britain.
  • B. Holl
    Holl is a German surname borne by various notable individuals, including artists, performers, and professionals.
  • C. Hollola
    Hollola is a municipality in southern Finland, located in the Päijät-Häme region near the city of Lahti.
  • D. Holhol
    Holhol is a small town in southern Djibouti known as a railway stop and local administrative center within the Arta Region.
  • E. Hollerich
    Hollerich is a district of Luxembourg City known for its mix of residential areas, nightlife, and transport connections, including a major railway station.
  • 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: Holle
Triple: [Hildesheim district, contains, Holle]
Generated description
Holle is a small municipality in Lower Saxony, Germany, known for its rural character and location near the city of Hildesheim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holle
Target entity description: Holle is a small municipality in Lower Saxony, Germany, known for its rural character and location near the city of Hildesheim.
  • A. Holles
    Holles is an English surname historically associated with a prominent political and aristocratic family in Britain.
  • B. Holl
    Holl is a German surname borne by various notable individuals, including artists, performers, and professionals.
  • C. Hollola
    Hollola is a municipality in southern Finland, located in the Päijät-Häme region near the city of Lahti.
  • D. Holhol
    Holhol is a small town in southern Djibouti known as a railway stop and local administrative center within the Arta Region.
  • E. Hollerich
    Hollerich is a district of Luxembourg City known for its mix of residential areas, nightlife, and transport connections, including a major railway station.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5996408190afab2221d38e0027 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bf572bc819088ee173d1e0bf5b0 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff0d5d01308190b1f920042e12b0f3 completed May 9, 2026, 10:33 a.m.
Created at: April 10, 2026, 3:19 a.m.