Triple

T15792122
Position Surface form Disambiguated ID Type / Status
Subject Lake Sils E382884 entity
Predicate nearbySettlement P350 FINISHED
Object Maloja
Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
E1177581 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: Maloja | Statement: [Lake Sils, nearbySettlement, Maloja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maloja
Context triple: [Lake Sils, nearbySettlement, Maloja]
  • A. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • B. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • C. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • D. Mlava
    Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
  • E. Maumelle
    Maumelle is a suburban city in central Arkansas that serves as a residential community within the greater Little Rock metropolitan region.
  • 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: Maloja
Triple: [Lake Sils, nearbySettlement, Maloja]
Generated description
Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maloja
Target entity description: Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
  • A. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • B. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • C. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • D. Mlava
    Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
  • E. Maumelle
    Maumelle is a suburban city in central Arkansas that serves as a residential community within the greater Little Rock metropolitan region.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d9623081908496cdfdf86a078a completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93c259e481908d419c101512c140 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9458a1388190bfb2b1ecbbf5ebdd completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.