Triple

T19565490
Position Surface form Disambiguated ID Type / Status
Subject district of Lörrach E489570 entity
Predicate containsMunicipality P852 FINISHED
Object Steinen
Steinen is a municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
 E1383161 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: Steinen | Statement: [district of Lörrach, containsMunicipality, Steinen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steinen
Context triple: [district of Lörrach, containsMunicipality, Steinen]
  • A. Steine
    Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Stenen
    Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
  • C. Stonem
    Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
  • D. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • E. Hinkelsteine
    Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
  • 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: Steinen
Triple: [district of Lörrach, containsMunicipality, Steinen]
Generated description
Steinen is a municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steinen
Target entity description: Steinen is a municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
  • A. Steine
    Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Stenen
    Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
  • C. Stonem
    Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
  • D. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • E. Hinkelsteine
    Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f777cf081909312b46ac09bce7c completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075787d15c8190b680c74afa7b2220 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758aeffb081909c100c7509010d54 completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a07598fdd908190b3f999b61447f8d2 completed May 15, 2026, 5:36 p.m.
Created at: April 10, 2026, 1:42 p.m.