Triple

T1241393
Position Surface form Disambiguated ID Type / Status
Subject Beni E26664 entity
Predicate borders P224 FINISHED
Object Pando E23888 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: Pando | Statement: [Beni, borders, Pando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pando
Context triple: [Beni, borders, Pando]
  • A. Pando chosen
    Pando is a sparsely populated, rainforest-covered department in northern Bolivia known for its Amazonian biodiversity and rubber-extraction history.
  • B. Nothotsuga
    Nothotsuga is a small genus of coniferous trees in the family Pinaceae, closely related to hemlocks and native to parts of Asia.
  • C. Pollock Pines
    Pollock Pines is a small mountain community in the Sierra Nevada region of California, known as a gateway to outdoor recreation near Lake Tahoe and the Eldorado National Forest.
  • D. Mariposa
    Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
  • E. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f79afe08190802dd615f01e303d completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.