Triple

T14145000
Position Surface form Disambiguated ID Type / Status
Subject Alps four-thousanders E350521 entity
Predicate hasMember P10 FINISHED
Object Fletschhorn E158906 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: Fletschhorn | Statement: [Alps four-thousanders, hasMember, Fletschhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fletschhorn
Context triple: [Alps four-thousanders, hasMember, Fletschhorn]
  • A. Fletschhorn chosen
    Fletschhorn is a prominent mountain peak in the Swiss Pennine Alps, known for its glaciated slopes and popularity among alpine climbers.
  • B. Wiesbachhorn
    Wiesbachhorn is a prominent alpine peak in the Austrian Alps, known for its impressive height and glaciated slopes within the Hohe Tauern range.
  • C. Rheinwaldhorn
    Rheinwaldhorn is a prominent peak in the Lepontine Alps on the border between Switzerland’s Graubünden and Ticino cantons, known as one of the major summits of the Rhine watershed.
  • D. Stecknadelhorn
    Stecknadelhorn is a high alpine peak in the Pennine Alps of Switzerland, known as one of the prominent summits of the Mischabel range.
  • E. Hösthorn
    Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6476c15881909881b9f85697a9b2 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 12:53 a.m.