Triple

T17703644
Position Surface form Disambiguated ID Type / Status
Subject Zierenberg E441373 entity
Predicate hasSubdivision P747 FINISHED
Object Laar
Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
 E1283344 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: Laar | Statement: [Zierenberg, hasSubdivision, Laar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laar
Context triple: [Zierenberg, hasSubdivision, Laar]
  • A. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • B. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • C. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • D. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • E. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • 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: Laar
Triple: [Zierenberg, hasSubdivision, Laar]
Generated description
Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laar
Target entity description: Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • A. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • B. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • C. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • D. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • E. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02301ef8488190a71d06780a4f6b29 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0230bd3388819084da9710cfbef59a completed May 11, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0231983fb8819080d22d038f97ae5d completed May 11, 2026, 7:44 p.m.
Created at: April 10, 2026, 10:05 a.m.