Triple

T14145149
Position Surface form Disambiguated ID Type / Status
Subject Torino Hut E350526 entity
Predicate access P1017 FINISHED
Object Punta Helbronner station E350519 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: Punta Helbronner station | Statement: [Torino Hut, access, Punta Helbronner station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punta Helbronner station
Context triple: [Torino Hut, access, Punta Helbronner station]
  • A. Punta Helbronner station chosen
    Punta Helbronner station is a high-altitude cable car terminal in the Mont Blanc massif that serves as a major access point for alpine views, skiing, and mountaineering between Italy and France.
  • B. Saldanha station
    Saldanha station is a major Lisbon Metro interchange station in central Lisbon, connecting key lines and serving an important commercial and business district.
  • C. Tupahue station
    Tupahue station is a mid-slope stop on Santiago’s aerial cable car system that serves visitors accessing San Cristóbal Hill and its surrounding park areas.
  • D. Selva de Mar station
    Selva de Mar station is a Barcelona Metro stop in the Sant Martí district that serves the city’s Line 4 (the yellow line).
  • E. Vicuña Mackenna station
    Vicuña Mackenna station is a Santiago Metro station in Chile that serves as a key interchange point and terminal for certain metro lines in the city’s network.
  • 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_69fcdf1b8508819096d4f5cf1456edca completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:53 a.m.