Triple

T4255432
Position Surface form Disambiguated ID Type / Status
Subject Crans-Montana E95961 entity
Predicate hasPart P35 FINISHED
Object Aminona
Aminona is a small resort area and former village that forms part of the larger alpine ski and holiday destination of Crans-Montana in the Swiss canton of Valais.
E424674 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: Aminona | Statement: [Crans-Montana, hasPart, Aminona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aminona
Context triple: [Crans-Montana, hasPart, Aminona]
  • A. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • B. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • C. Lomanikoro
    Lomanikoro is a village located on Kadavu Island in Fiji.
  • D. Tasiilaq
    Tasiilaq is a remote town on the southeastern coast of Greenland, known for its dramatic fjord landscape, Inuit culture, and role as a regional hub for outdoor and Arctic expeditions.
  • E. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • 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: Aminona
Triple: [Crans-Montana, hasPart, Aminona]
Generated description
Aminona is a small resort area and former village that forms part of the larger alpine ski and holiday destination of Crans-Montana in the Swiss canton of Valais.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aminona
Target entity description: Aminona is a small resort area and former village that forms part of the larger alpine ski and holiday destination of Crans-Montana in the Swiss canton of Valais.
  • A. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • B. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • C. Lomanikoro
    Lomanikoro is a village located on Kadavu Island in Fiji.
  • D. Tasiilaq
    Tasiilaq is a remote town on the southeastern coast of Greenland, known for its dramatic fjord landscape, Inuit culture, and role as a regional hub for outdoor and Arctic expeditions.
  • E. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • 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_69b34ec036e8819087d8585170707545 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.