Triple

T21820349
Position Surface form Disambiguated ID Type / Status
Subject Machhu Dam E538708 entity
Predicate riverBasin P1559 FINISHED
Object Machhu 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: Machhu River basin | Statement: [Machhu Dam, riverBasin, Machhu River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Machhu River basin
Context triple: [Machhu Dam, riverBasin, Machhu River basin]
  • A. Hunza River basin
    The Hunza River basin is a mountainous watershed in northern Pakistan’s Gilgit-Baltistan region, encompassing high peaks, glaciers, and valleys that feed the Hunza River.
  • B. Huallaga River basin
    The Huallaga River basin is a major watershed in central Peru encompassing extensive Andean and Amazonian landscapes, known for its rich biodiversity and significant role in regional agriculture and river transport.
  • C. Mahi River basin
    The Mahi River basin is the drainage area of the Mahi River in western India, spanning parts of Madhya Pradesh, Rajasthan, and Gujarat and supporting agriculture, settlements, and ecosystems along its course.
  • D. Amaseno River basin
    The Amaseno River basin is the broader hydrological catchment area in central Italy that drains the Amaseno River and its surrounding valleys and tributaries.
  • E. Lempa River basin
    The Lempa River basin is a major Central American watershed, primarily in El Salvador, that drains a large region into the Pacific Ocean and supports significant agriculture, hydropower, and urban populations.
  • 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: Machhu River basin
Target entity description: The Machhu River basin is the catchment area in Gujarat, India, drained by the Machhu River and its tributaries, encompassing the hydrological system that feeds structures like the Machhu Dam.
  • A. Hunza River basin
    The Hunza River basin is a mountainous watershed in northern Pakistan’s Gilgit-Baltistan region, encompassing high peaks, glaciers, and valleys that feed the Hunza River.
  • B. Huallaga River basin
    The Huallaga River basin is a major watershed in central Peru encompassing extensive Andean and Amazonian landscapes, known for its rich biodiversity and significant role in regional agriculture and river transport.
  • C. Mahi River basin
    The Mahi River basin is the drainage area of the Mahi River in western India, spanning parts of Madhya Pradesh, Rajasthan, and Gujarat and supporting agriculture, settlements, and ecosystems along its course.
  • D. Amaseno River basin
    The Amaseno River basin is the broader hydrological catchment area in central Italy that drains the Amaseno River and its surrounding valleys and tributaries.
  • E. Lempa River basin
    The Lempa River basin is a major Central American watershed, primarily in El Salvador, that drains a large region into the Pacific Ocean and supports significant agriculture, hydropower, and urban populations.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912d414c81909c109c3e45b6e7d2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.