Triple

T6932659
Position Surface form Disambiguated ID Type / Status
Subject Chaman E160472 entity
Predicate nearbyCity P350 FINISHED
Object Spin Boldak E629101 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: Spin Boldak | Statement: [Chaman, nearbyCity, Spin Boldak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spin Boldak
Context triple: [Chaman, nearbyCity, Spin Boldak]
  • A. Spin Boldak chosen
    Spin Boldak is a key Afghan border town in Kandahar Province that serves as a major crossing and trade route between Afghanistan and Pakistan.
  • B. Ali Kiba
    Ali Kiba is a Tanzanian singer and songwriter known as one of East Africa’s leading Bongo Flava artists.
  • C. Barkat
    Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
  • D. Farud
    Farud is a character in the Persian epic Shahnameh, known as the son of the legendary king Kay Kavus and for his tragic, heroic death in battle.
  • E. Jobat
    Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da3fa7fc8190a03e7132871a9af4 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7585e45448190accdddcbb4bd69ed completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:27 p.m.