Triple

T20948853
Position Surface form Disambiguated ID Type / Status
Subject Nad Ali District E515923 entity
Predicate borderWith P224 FINISHED
Object Marjah 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: Marjah District | Statement: [Nad Ali District, borderWith, Marjah District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjah District
Context triple: [Nad Ali District, borderWith, Marjah District]
  • A. Marjah chosen
    Marjah is a rural agricultural town in southern Afghanistan that gained international attention as a major Taliban stronghold and the focus of a large NATO offensive in 2010.
  • B. Hassan district
    Hassan district is an administrative region in the state of Karnataka, India, known for its rich Hoysala-era temple architecture and agricultural prominence.
  • C. Sheema District
    Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
  • D. Taloqan District
    Taloqan District is an administrative district in northeastern Afghanistan centered around the city of Taloqan, the capital of Takhar Province.
  • E. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadc08148190b4ff710f94462a26 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:10 p.m.