Triple

T7889376
Position Surface form Disambiguated ID Type / Status
Subject Fourteeners of California E183186 entity
Predicate hasPeak P8205 FINISHED
Object Mount Fiske
Mount Fiske is a high Sierra Nevada peak in California known for its rugged alpine terrain and popularity among experienced hikers and climbers.
E830770 NE FINISHED

How this triple was built (4 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 Fiske | Statement: [Fourteeners of California, hasPeak, Mount Fiske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Fiske
Context triple: [Fourteeners of California, hasPeak, Mount Fiske]
  • A. Mount Fisht
    Mount Fisht is a prominent peak in Russia’s Western Caucasus, known for its rugged limestone massif and as a notable landmark in Krasnodar Krai.
  • B. Mount Willey
    Mount Willey is a prominent peak in New Hampshire’s White Mountains, known for its steep trails, scenic views, and location within Crawford Notch State Park.
  • C. Mount Gaudry
    Mount Gaudry is the highest mountain on Adelaide Island off the coast of the Antarctic Peninsula.
  • D. Mount Wister
    Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
  • E. Mount Frissell
    Mount Frissell is a peak in the Taconic Mountains best known for having a shoulder that marks the highest elevation point in the state of Connecticut.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Fiske
Triple: [Fourteeners of California, hasPeak, Mount Fiske]
Generated description
Mount Fiske is a high Sierra Nevada peak in California known for its rugged alpine terrain and popularity among experienced hikers and climbers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mount Fiske
Target entity description: Mount Fiske is a high Sierra Nevada peak in California known for its rugged alpine terrain and popularity among experienced hikers and climbers.
  • A. Mount Fisht
    Mount Fisht is a prominent peak in Russia’s Western Caucasus, known for its rugged limestone massif and as a notable landmark in Krasnodar Krai.
  • B. Mount Willey
    Mount Willey is a prominent peak in New Hampshire’s White Mountains, known for its steep trails, scenic views, and location within Crawford Notch State Park.
  • C. Mount Gaudry
    Mount Gaudry is the highest mountain on Adelaide Island off the coast of the Antarctic Peninsula.
  • D. Mount Wister
    Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
  • E. Mount Frissell
    Mount Frissell is a peak in the Taconic Mountains best known for having a shoulder that marks the highest elevation point in the state of Connecticut.
  • F. None of above. chosen

Provenance (5 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ecb700819091c1bdfa95349d36 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2281e332c819093444685d37b9251 completed April 5, 2026, 9:15 a.m.
NEDg Description generation batch_69d22968194c8190b919ed3ab2dcfc33 completed April 5, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69d229d10dac81909f34a9977e6445a0 completed April 5, 2026, 9:22 a.m.
Created at: March 30, 2026, 5 p.m.