Triple

T4507596
Position Surface form Disambiguated ID Type / Status
Subject Ilave River E101370 entity
Predicate hasWatershedIn P17416 FINISHED
Object Puno Region E61061 NE FINISHED

How this triple was built (3 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: Puno Region | Statement: [Ilave River, hasWatershedIn, Puno Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puno Region
Context triple: [Ilave River, hasWatershedIn, Puno Region]
  • A. Puno Region chosen
    Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
  • B. Puno Province
    Puno Province is an administrative division in southeastern Peru that includes the city of Puno on the shores of Lake Titicaca and serves as an important cultural and economic center of the region.
  • C. Tarapacá Region
    Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
  • D. Moquegua Region
    Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
  • E. Arequipa Region
    The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWatershedIn
Context triple: [Ilave River, hasWatershedIn, Puno Region]
  • A. hasWatershed chosen
    Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
  • B. hasWatershedCharacteristic
    Indicates that a watershed possesses a specified characteristic, feature, or property.
  • C. hasWatershedUse
    Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
  • D. watershedBetween
    Indicates that a geographic feature or boundary serves as the dividing line between two drainage basins or river systems.
  • E. hasWatercourseType
    Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
  • F. None of above.

Provenance (4 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f760658819085ca8c631894b486 completed March 20, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69bd5218afb4819087c99e0a1f22e137 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:01 p.m.