Triple

T6221080
Position Surface form Disambiguated ID Type / Status
Subject Ghor Province E139113 entity
Predicate hasSettlement P1068 FINISHED
Object Chaghcharan E228804 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: Chaghcharan | Statement: [Ghor Province, hasSettlement, Chaghcharan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaghcharan
Context triple: [Ghor Province, hasSettlement, Chaghcharan]
  • A. Chaghcharan chosen
    Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
  • B. Chtaura
    Chtaura is a commercial and transportation hub town in Lebanon, strategically located on the main route between Beirut and Damascus in the Beqaa Valley.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • E. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bcc2348190806ed8c98bdfbf3e completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5190757648190a73575e680a35684 completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:22 p.m.