Triple

T2684682
Position Surface form Disambiguated ID Type / Status
Subject Kabul River E57455 entity
Predicate hasTributary P415 FINISHED
Object Alingar River E442665 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: Alingar River | Statement: [Kabul River, hasTributary, Alingar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alingar River
Context triple: [Kabul River, hasTributary, Alingar River]
  • A. Alingar River chosen
    The Alingar River is a significant river in eastern Afghanistan that flows through mountainous regions including Nuristan Province, supporting local agriculture and settlements along its course.
  • B. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • C. Amarja River
    The Amarja River is a smaller river in southern India known primarily as a tributary that feeds into the larger Bhima River system.
  • D. Imnaha River
    The Imnaha River is a remote, scenic river in northeastern Oregon known for its rugged canyon landscapes and contributions to the Snake River watershed.
  • E. Nyamiha River
    The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9edba5c8190b86d6cba0f1964e2 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69be92151b108190b415b7c6cf146b09 completed March 21, 2026, 12:41 p.m.
Created at: March 6, 2026, 9:54 p.m.