Triple

T10933249
Position Surface form Disambiguated ID Type / Status
Subject Pashtunistan E258261 entity
Predicate keyCity P235 FINISHED
Object Jalalabad E118245 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: Jalalabad | Statement: [Pashtunistan, keyCity, Jalalabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalalabad
Context triple: [Pashtunistan, keyCity, Jalalabad]
  • A. Jalalabad, Afghanistan chosen
    Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of the region.
  • B. Kunduz
    Kunduz is a strategically important city in northern Afghanistan known for its contested control during the Afghan conflict and its role as a regional commercial and transport hub.
  • C. Khudabad
    Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
  • D. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • E. Mazar-i-Sharif
    Mazar-i-Sharif is a major city in northern Afghanistan known for its strategic importance, ethnic diversity, and the revered Blue Mosque, making it a focal point in the country’s political and military conflicts.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a16cbc8190acd619defed7114c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7fbf1e08190867151b624a2ee70 completed April 18, 2026, 6:05 p.m.
Created at: April 8, 2026, 9:23 p.m.