Triple

T20540880
Position Surface form Disambiguated ID Type / Status
Subject Lys Glacier E504327 entity
Predicate near P350 FINISHED
Object Punta Zumstein 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: Punta Zumstein | Statement: [Lys Glacier, near, Punta Zumstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punta Zumstein
Context triple: [Lys Glacier, near, Punta Zumstein]
  • A. Punta Zumstein chosen
    Punta Zumstein is a high peak in the Pennine Alps on the border between Italy and Switzerland, known as one of the prominent summits of the Monte Rosa massif.
  • B. Punta Helbronner
    Punta Helbronner is a high-altitude mountain station in the Mont Blanc massif, known as a panoramic viewpoint and access point for alpine activities on the Italian–French border.
  • C. Punta Rocca
    Punta Rocca is one of the main summits of the Marmolada massif in the Dolomites of northeastern Italy, known for its alpine climbing and panoramic views.
  • D. Punta La Marmora
    Punta La Marmora is the tallest mountain in Sardinia, Italy, located in the Gennargentu range and known for its panoramic views over the island.
  • E. Punta d'Astorg
    Punta d'Astorg is a prominent high peak in the Maladeta massif of the central Pyrenees, known for its alpine climbing routes and glaciated terrain.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29224f081908298d104161c5bb9 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.