Triple

T12055446
Position Surface form Disambiguated ID Type / Status
Subject Alt St. Johann E287028 entity
Predicate hasSettlement P1068 FINISHED
Object Selamatt
Selamatt is a small settlement in the municipality of Alt St. Johann in the Swiss canton of St. Gallen, known for its alpine setting and outdoor recreation.
E962003 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: Selamatt | Statement: [Alt St. Johann, hasSettlement, Selamatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selamatt
Context triple: [Alt St. Johann, hasSettlement, Selamatt]
  • A. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • B. Asalem
    Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
  • C. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • D. Salemi
    Salemi is a historic hill town in western Sicily, Italy, known for its medieval center, traditional festivals, and surrounding vineyards and olive groves.
  • E. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • 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: Selamatt
Triple: [Alt St. Johann, hasSettlement, Selamatt]
Generated description
Selamatt is a small settlement in the municipality of Alt St. Johann in the Swiss canton of St. Gallen, known for its alpine setting and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Selamatt
Target entity description: Selamatt is a small settlement in the municipality of Alt St. Johann in the Swiss canton of St. Gallen, known for its alpine setting and outdoor recreation.
  • A. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • B. Asalem
    Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
  • C. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • D. Salemi
    Salemi is a historic hill town in western Sicily, Italy, known for its medieval center, traditional festivals, and surrounding vineyards and olive groves.
  • E. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.