Triple

T21457850
Position Surface form Disambiguated ID Type / Status
Subject Au (St. Gallen) E529387 entity
Predicate hasSettlement P1068 FINISHED
Object Haslach
Haslach is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
E1549535 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: Haslach | Statement: [Au (St. Gallen), hasSettlement, Haslach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haslach
Context triple: [Au (St. Gallen), hasSettlement, Haslach]
  • A. Haslach
    Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
  • B. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • C. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • D. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • E. Uetendorf
    Uetendorf is a municipality in the canton of Bern in Switzerland, located in the Thun administrative district.
  • 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: Haslach
Triple: [Au (St. Gallen), hasSettlement, Haslach]
Generated description
Haslach is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haslach
Target entity description: Haslach is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
  • A. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • B. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • C. Haslach
    Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
  • D. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • E. Uetendorf
    Uetendorf is a municipality in the canton of Bern in Switzerland, located in the Thun administrative district.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73cd90048190972ae88b6828f84a completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7ad64f38819086f403627f196573 completed May 18, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7b1cc47081909f58b3462077c323 completed May 18, 2026, 8:48 p.m.
Created at: April 16, 2026, 6:08 p.m.