Triple

T4255529
Position Surface form Disambiguated ID Type / Status
Subject Brig-Glis E95963 entity
Predicate formedByMergerOf P77 FINISHED
Object Brigerbad
Brigerbad is a former Swiss municipality in the canton of Valais that is now part of the town of Brig-Glis.
E424684 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: Brigerbad | Statement: [Brig-Glis, formedByMergerOf, Brigerbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigerbad
Context triple: [Brig-Glis, formedByMergerOf, Brigerbad]
  • A. Brigach
    Brigach is a river in Germany that forms one of the two headstreams of the Danube.
  • B. Brünnlitz
    Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
  • C. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • D. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • E. Nýřany
    Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
  • 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: Brigerbad
Triple: [Brig-Glis, formedByMergerOf, Brigerbad]
Generated description
Brigerbad is a former Swiss municipality in the canton of Valais that is now part of the town of Brig-Glis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brigerbad
Target entity description: Brigerbad is a former Swiss municipality in the canton of Valais that is now part of the town of Brig-Glis.
  • A. Brigach
    Brigach is a river in Germany that forms one of the two headstreams of the Danube.
  • B. Brünnlitz
    Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
  • C. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • D. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • E. Nýřany
    Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:06 p.m.