Triple

T22456212
Position Surface form Disambiguated ID Type / Status
Subject Valle de Tena E555122 entity
Predicate hasPassNearby P21307 FINISHED
Object Portalet Pass 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: Portalet Pass | Statement: [Valle de Tena, hasPassNearby, Portalet Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portalet Pass
Context triple: [Valle de Tena, hasPassNearby, Portalet Pass]
  • A. El Portal
    El Portal is a small unincorporated community in Mariposa County, California, serving as a gateway to Yosemite National Park along the Merced River.
  • B. Portalet chosen
    Portalet is the Aragonese name for the Col du Pourtalet, a high mountain pass in the central Pyrenees on the border between France and Spain.
  • C. Portkey
    Portkey is a magical object in the Harry Potter universe that instantly transports anyone touching it to a predetermined location.
  • D. Portais
    Portais are the inhabitants or natives of Port-en-Bessin-Huppain, a coastal commune in the Calvados department of Normandy, France.
  • E. Grandpass
    Grandpass is a densely populated urban neighborhood in Colombo, Sri Lanka, known for its bustling commercial activity and diverse communities.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4f19708190a50f29598fb1a204 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.