Triple

T7465477
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Would Be King E176361 entity
Predicate settingLocation P40 FINISHED
Object Kafiristan E125610 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: Kafiristan | Statement: [The Man Who Would Be King, settingLocation, Kafiristan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kafiristan
Context triple: [The Man Who Would Be King, settingLocation, Kafiristan]
  • A. Badakhshan chosen
    Badakhshan is a mountainous historical region in Central Asia, spanning parts of northeastern Afghanistan and eastern Tajikistan, known for its Pamir highlands and diverse ethnic communities.
  • B. Karakalpakstan
    Karakalpakstan is an autonomous republic in northwestern Uzbekistan, known for its location around the shrinking Aral Sea and the lower reaches of the Amu Darya River.
  • C. Pashtunistan
    Pashtunistan is a historical and cultural region inhabited predominantly by Pashtun people, spanning areas across modern-day Afghanistan and Pakistan.
  • D. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • E. Khost
    Khost is a city in eastern Afghanistan known as a regional commercial and administrative center near the Pakistan border.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f28f34819080713a8abcc22034 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346adb3081908f049d8dcd623215 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:40 p.m.