Triple

T12508678
Position Surface form Disambiguated ID Type / Status
Subject Charikar E299017 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Kunduz E752598 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: Kunduz | Statement: [Charikar, hasRoadConnectionTo, Kunduz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunduz
Context triple: [Charikar, hasRoadConnectionTo, Kunduz]
  • A. Kunduz chosen
    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.
  • B. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • C. Khost
    Khost is a city in eastern Afghanistan known as a regional commercial and administrative center near the Pakistan border.
  • D. Jalalabad, Afghanistan
    Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ad25c8190b4d0d51d48c070dd completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.