Triple

T15781137
Position Surface form Disambiguated ID Type / Status
Subject Grenzgletscher E382616 entity
Predicate flowsBelow P119986 FINISHED
Object Nordend E75131 NE FINISHED

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: [Grenzgletscher, flowsBelow, Nordend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordend
Context triple: [Grenzgletscher, flowsBelow, 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 residential suburb in Sydney, New South Wales, known for its transport links and proximity to Campbelltown and other south-western Sydney suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142df48e8819083a48d3b7b3f7f5d completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12d6f388190b61cdc7820ce6311 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.