Triple

T5536495
Position Surface form Disambiguated ID Type / Status
Subject North Lebanon E145174 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Bsharri E325849 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: Bsharri | Statement: [North Lebanon, hasHistoricalRegion, Bsharri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bsharri
Context triple: [North Lebanon, hasHistoricalRegion, Bsharri]
  • A. Bsharri chosen
    Bsharri is a historic town in northern Lebanon known as the birthplace of poet Khalil Gibran and as a gateway to the nearby Cedars of God forest in the Mount Lebanon range.
  • B. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • C. Peshkopi
    Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
  • D. Elbasan
    Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
  • E. Himarë
    Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce6a3bc8190958b9356bb788d72 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.