Triple

T11685113
Position Surface form Disambiguated ID Type / Status
Subject Lenin Peak E277718 entity
Predicate formerName P65 FINISHED
Object Kaufmann Peak E332772 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: Kaufmann Peak | Statement: [Lenin Peak, formerName, Kaufmann Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaufmann Peak
Context triple: [Lenin Peak, formerName, Kaufmann Peak]
  • A. Kaufmann Peak chosen
    Kaufmann Peak is a mountain summit located within the high-altitude Pamir mountain range of Central Asia.
  • B. Fremont Peak
    Fremont Peak is a prominent mountain summit in central California known for its panoramic views, state park, and historical significance to early explorers.
  • C. Fremont Peak
    Fremont Peak is a mountain summit located in Fremont County, Colorado, known as part of the southern Rocky Mountains.
  • D. Fremont Peak
    Fremont Peak is a prominent high-elevation summit in Wyoming’s Wind River Range, popular with climbers and known for its rugged alpine terrain and expansive views.
  • E. Wasson Peak
    Wasson Peak is the highest point in the Tucson Mountains of southern Arizona, popular for its hiking trails and panoramic desert views within Saguaro National Park.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0683b90819098864f73b6976517 completed May 8, 2026, 2:17 p.m.
Created at: April 8, 2026, 9:40 p.m.