Triple

T10794869
Position Surface form Disambiguated ID Type / Status
Subject Laghman Province E254677 entity
Predicate hasRiver P165 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: [Laghman Province, hasRiver, Alingar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alingar River
Context triple: [Laghman Province, hasRiver, 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. Inambari River
    The Inambari River is a significant tributary of the Madre de Dios River in southeastern Peru, flowing through the Amazon Basin and supporting regional biodiversity and local communities.
  • C. 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.
  • D. 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.
  • E. Tahan River
    The Tahan River is a prominent river in Peninsular Malaysia known for flowing through dense rainforest and serving as a key route for trekking and eco-tourism.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82a0cf48190a201a533c7387512 completed May 3, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:17 p.m.