Triple

T21271781
Position Surface form Disambiguated ID Type / Status
Subject Narayani River E524277 entity
Predicate flowsThrough P225 FINISHED
Object Parsa District NE NERFINISHED

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: Parsa District | Statement: [Narayani River, flowsThrough, Parsa District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsa District
Context triple: [Narayani River, flowsThrough, Parsa District]
  • A. Parsa District chosen
    Parsa District is an administrative region in southern Nepal that encompasses part of the lowland Terai area and includes the protected Parsa National Park.
  • B. Shahrak District
    Shahrak District is an administrative district in Ghor Province, central Afghanistan, known for encompassing the UNESCO World Heritage-listed Minaret of Jam.
  • C. Farsi District
    Farsi District is an administrative district located within Herat Province in western Afghanistan.
  • D. Mehrabad district
    Mehrabad district is an area in western Tehran, Iran, historically significant as the site of the city’s former main international airport and associated residential and commercial zones.
  • E. Saydabad District
    Saydabad District is an administrative district in Afghanistan located within Wardak Province, known for its strategic position along the Kabul–Kandahar highway and its predominantly rural communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736534c348190a8d29e8d724dd40a completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.