Triple

T21268705
Position Surface form Disambiguated ID Type / Status
Subject Allaman railway station E524197 entity
Predicate serves P98 FINISHED
Object Allaman
Allaman is a municipality in the canton of Vaud in western Switzerland, situated near Lake Geneva and known for its vineyards and historic château.
 E1475461 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: Allaman | Statement: [Allaman railway station, serves, Allaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allaman
Context triple: [Allaman railway station, serves, Allaman]
  • A. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • B. Amed
    Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
  • C. Allemanda
    Allemanda is the opening, stately dance movement in Baroque suites, often characterized by a moderate tempo and flowing, continuous motion.
  • D. Ameretat
    Ameretat is a Zoroastrian Amesha Spenta associated with immortality and the protection of plant life.
  • E. Allam
    Allam is a surname of Arabic origin borne by various notable individuals across fields such as acting, politics, and academia.
  • 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: Allaman
Triple: [Allaman railway station, serves, Allaman]
Generated description
Allaman is a municipality in the canton of Vaud in western Switzerland, situated near Lake Geneva and known for its vineyards and historic château.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allaman
Target entity description: Allaman is a municipality in the canton of Vaud in western Switzerland, situated near Lake Geneva and known for its vineyards and historic château.
  • A. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • B. Amed
    Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
  • C. Allemanda
    Allemanda is the opening, stately dance movement in Baroque suites, often characterized by a moderate tempo and flowing, continuous motion.
  • D. Ameretat
    Ameretat is a Zoroastrian Amesha Spenta associated with immortality and the protection of plant life.
  • E. Allam
    Allam is a surname of Arabic origin borne by various notable individuals across fields such as acting, politics, and academia.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73651115081908b5083ba818a6bb1 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09900313748190a2ecc88cfd2b9c78 completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0993b803b8819099eb7082303677d7 completed May 17, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0994235124819098fcf0b30bb0f757 completed May 17, 2026, 10:10 a.m.
Created at: April 16, 2026, 4:01 p.m.