Triple

T2840857
Position Surface form Disambiguated ID Type / Status
Subject Khyber District E62462 entity
Predicate hasTown P847 FINISHED
Object Landi Kotal E264741 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: Landi Kotal | Statement: [Khyber District, hasTown, Landi Kotal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landi Kotal
Context triple: [Khyber District, hasTown, Landi Kotal]
  • A. Landi Kotal chosen
    Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
  • B. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.