Triple

T9960057
Position Surface form Disambiguated ID Type / Status
Subject Cascade Canyon E195543 entity
Predicate hasViewOf P854 FINISHED
Object Mount Owen E634396 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: Mount Owen | Statement: [Cascade Canyon, hasViewOf, Mount Owen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Owen
Context triple: [Cascade Canyon, hasViewOf, Mount Owen]
  • A. Mount Owen
    Mount Owen is a prominent high peak in Wyoming’s Teton Range, known for its rugged alpine terrain and challenging climbing routes.
  • B. Mount Paterson
    Mount Paterson is a mountain peak in the Allardyce Range on the sub-Antarctic island of South Georgia, known for its rugged, glaciated terrain.
  • C. Mount Irving
    Mount Irving is a prominent, heavily glaciated volcanic peak in the South Shetland Islands of Antarctica.
  • D. Mount Hector
    Mount Hector is a prominent peak in New Zealand’s Tararua Range, known for its alpine terrain, challenging tramping routes, and memorial cross to soldiers killed in World War II.
  • E. Mt Owen chosen
    Mt Owen is a prominent limestone mountain in New Zealand’s South Island, noted for its extensive karst landscapes and cave systems.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d08fdc8190a77b9c97830035bc completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794653a948190899e60d18446213a completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 8:46 p.m.