Triple

T11510194
Position Surface form Disambiguated ID Type / Status
Subject Princely State of Swat E272888 entity
Predicate borderedBy P224 FINISHED
Object Buner E279284 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: Buner | Statement: [Princely State of Swat, borderedBy, Buner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buner
Context triple: [Princely State of Swat, borderedBy, Buner]
  • A. Goms
    Goms is a high alpine valley and municipality region in the upper Valais of Switzerland, known for its traditional villages, hiking and cross-country skiing, and proximity to major mountain passes like the Furka Pass.
  • B. Buner District chosen
    Buner District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain, Pashtun population, and proximity to the Swat Valley.
  • C. Bürmoos
    Bürmoos is a small Austrian municipality located in the state of Salzburg, known for its residential character and proximity to the city of Salzburg.
  • D. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • E. Begna
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.