Triple

T22820486
Position Surface form Disambiguated ID Type / Status
Subject Deh Rawud District E565213 entity
Predicate capital P234 FINISHED
Object Deh Rawud 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: Deh Rawud | Statement: [Deh Rawud District, capital, Deh Rawud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deh Rawud
Context triple: [Deh Rawud District, capital, Deh Rawud]
  • A. Deh Rawud chosen
    Deh Rawud is a town and district center in Uruzgan Province in central Afghanistan, known for its strategic location in a mountainous, conflict-affected region.
  • B. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • C. Rudsar
    Rudsar is a coastal city in northern Iran known for its lush landscapes, rice paddies, and proximity to the Caspian Sea.
  • D. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • E. Yaghma
    Yaghma was a Turkic tribal clan that rose to prominence as the ruling dynasty of the Kara-Khanid Khanate in Central Asia.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcffdd88190a5f9c780c71b5053 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.