Triple

T3925998
Position Surface form Disambiguated ID Type / Status
Subject 1964 Winter Olympics E93275 entity
Predicate venue P373 FINISHED
Object Axamer Lizum
Axamer Lizum is an Austrian alpine ski resort near Innsbruck, best known for hosting several skiing events during the 1964 Winter Olympics.
E400425 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: Axamer Lizum | Statement: [1964 Winter Olympics, venue, Axamer Lizum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Axamer Lizum
Context triple: [1964 Winter Olympics, venue, Axamer Lizum]
  • A. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • B. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • C. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • D. Comino
    Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
  • E. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • 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: Axamer Lizum
Triple: [1964 Winter Olympics, venue, Axamer Lizum]
Generated description
Axamer Lizum is an Austrian alpine ski resort near Innsbruck, best known for hosting several skiing events during the 1964 Winter Olympics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Axamer Lizum
Target entity description: Axamer Lizum is an Austrian alpine ski resort near Innsbruck, best known for hosting several skiing events during the 1964 Winter Olympics.
  • A. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • B. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • C. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • D. Comino
    Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
  • E. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7f3cc881909464db1970ba39ae completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52873d5a881909c4c29f06b94a467 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c7951d881908a3111581e0ab511 completed March 14, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69b52cd24e988190b25e3b3ccc937fdd completed March 14, 2026, 9:39 a.m.
Created at: March 9, 2026, 3:23 p.m.