Triple

T6083240
Position Surface form Disambiguated ID Type / Status
Subject Wardak Province E135572 entity
Predicate hasRiver P165 FINISHED
Object Logar River (partly) E485008 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: Logar River (partly) | Statement: [Wardak Province, hasRiver, Logar River (partly)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logar River (partly)
Context triple: [Wardak Province, hasRiver, Logar River (partly)]
  • A. Logar River chosen
    The Logar River is a significant river in eastern Afghanistan that flows through Logar and Kabul provinces before joining the Kabul River.
  • 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. Leona River
    The Leona River is a tributary in south-central Texas that flows through several counties, including Uvalde County, before joining the Frio River.
  • D. Alingar River
    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.
  • E. Metuje River
    The Metuje River is a river in northeastern Bohemia that flows through the Hradec Králové Region of the Czech Republic, contributing to its local landscape and ecosystems.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05786233c81909010a6c2f7e7dfda completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d57b5f481908d7df374837a486a completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.