Triple

T19422697
Position Surface form Disambiguated ID Type / Status
Subject Waidbruck E485896 entity
Predicate borderedBy P224 FINISHED
Object Lajen
Lajen is a small municipality in South Tyrol in northern Italy, known for its alpine scenery and blend of German and Italian cultural influences.
 E1375904 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: Lajen | Statement: [Waidbruck, borderedBy, Lajen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lajen
Context triple: [Waidbruck, borderedBy, Lajen]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lasat
    Lasat are a powerful, agile, and spiritually inclined sentient species from the Star Wars universe, known for their warrior traditions and distinctive, tall, fur-covered appearance.
  • C. Larajasse
    Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
  • D. Laukaa
    Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
  • E. Lauvsnes
    Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
  • 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: Lajen
Triple: [Waidbruck, borderedBy, Lajen]
Generated description
Lajen is a small municipality in South Tyrol in northern Italy, known for its alpine scenery and blend of German and Italian cultural influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lajen
Target entity description: Lajen is a small municipality in South Tyrol in northern Italy, known for its alpine scenery and blend of German and Italian cultural influences.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lasat
    Lasat are a powerful, agile, and spiritually inclined sentient species from the Star Wars universe, known for their warrior traditions and distinctive, tall, fur-covered appearance.
  • C. Larajasse
    Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
  • D. Laukaa
    Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
  • E. Lauvsnes
    Lauvsnes is a small coastal village in Trøndelag county, Norway, known as the main local hub of the Flatanger municipality.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.