Triple

T21832935
Position Surface form Disambiguated ID Type / Status
Subject Monte Rosa–Dom chain E539044 entity
Predicate contains P35 FINISHED
Object Nordend NE NERFINISHED

How this triple was built (2 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: Nordend | Statement: [Monte Rosa–Dom chain, contains, Nordend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordend
Context triple: [Monte Rosa–Dom chain, contains, Nordend]
  • A. Nordend chosen
    Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
  • B. Nordend
    Nordend is a district of the German town of Eberswalde in the state of Brandenburg.
  • C. Northend
    Northend is a small hamlet within the parish of Turville in Buckinghamshire, England, known for its rural character and traditional English countryside setting.
  • D. Nordend-West
    Nordend-West is a central residential district of Frankfurt am Main, Germany, known for its historic architecture, lively urban atmosphere, and proximity to the city center.
  • E. Glenfield
    Glenfield is a village and civil parish in Leicestershire, England, situated just northwest of Leicester.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.