Triple

T21349337
Position Surface form Disambiguated ID Type / Status
Subject Bosque River E526430 entity
Predicate drainageBasin P1559 FINISHED
Object Bosque River basin NE NERFINISHED

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: Bosque River basin | Statement: [Bosque River, drainageBasin, Bosque River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosque River basin
Context triple: [Bosque River, drainageBasin, Bosque River basin]
  • A. Arzobispo River basin
    The Arzobispo River basin is a watershed in Bogotá that drains part of the city’s Eastern Hills and contributes to its urban hydrological system.
  • B. Benito River basin
    The Benito River basin is the catchment area in Equatorial Guinea and Gabon that collects the waters of the Benito (Mbini) River and its tributaries before they flow into the Atlantic Ocean.
  • C. Acelhuate River basin
    The Acelhuate River basin is a watershed in central El Salvador that drains much of the San Salvador metropolitan area and is known for severe urban pollution and flood risk.
  • D. Cañete River basin
    The Cañete River basin is a river system in central Peru that drains the Andean highlands toward the Pacific, supporting agriculture, settlements, and diverse ecosystems along its course.
  • E. La Paz River basin
    The La Paz River basin is a watershed in western Bolivia that drains the city of La Paz and surrounding Andean highlands through a network of rivers and tributaries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bosque River basin
Target entity description: The Bosque River basin is the watershed area in central Texas that collects and channels precipitation and runoff into the Bosque River and its tributaries.
  • A. Arzobispo River basin
    The Arzobispo River basin is a watershed in Bogotá that drains part of the city’s Eastern Hills and contributes to its urban hydrological system.
  • B. Benito River basin
    The Benito River basin is the catchment area in Equatorial Guinea and Gabon that collects the waters of the Benito (Mbini) River and its tributaries before they flow into the Atlantic Ocean.
  • C. Acelhuate River basin
    The Acelhuate River basin is a watershed in central El Salvador that drains much of the San Salvador metropolitan area and is known for severe urban pollution and flood risk.
  • D. Cañete River basin
    The Cañete River basin is a river system in central Peru that drains the Andean highlands toward the Pacific, supporting agriculture, settlements, and diverse ecosystems along its course.
  • E. La Paz River basin
    The La Paz River basin is a watershed in western Bolivia that drains the city of La Paz and surrounding Andean highlands through a network of rivers and tributaries.
  • F. None of above. chosen

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bab98148190aa14d52fd37bc894 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:02 p.m.