Triple

T20943026
Position Surface form Disambiguated ID Type / Status
Subject Damour E515770 entity
Predicate partOf P40 FINISHED
Object Mount Lebanon region NE NERFINISHED

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: Mount Lebanon region | Statement: [Damour, partOf, Mount Lebanon region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Lebanon region
Context triple: [Damour, partOf, Mount Lebanon region]
  • A. Mount Lebanon chosen
    Mount Lebanon is a historic mountainous region in modern-day Lebanon that has long served as a cultural and political heartland for the Druze community.
  • B. North Lebanon
    North Lebanon is a region in northern Lebanon that was a significant theater of conflict and political tension during the Lebanese Civil War.
  • C. Mount Lebanon Mutasarrifate
    Mount Lebanon Mutasarrifate was an autonomous Ottoman administrative district established in the mid-19th century to govern the Mount Lebanon region with a special power-sharing system among its religious communities.
  • D. Nabatieh, Lebanon
    Nabatieh is a predominantly Shia Muslim city in southern Lebanon known as a regional political and commercial center and for its major Ashura commemorations.
  • E. Nabatieh District
    Nabatieh District is an administrative district in southern Lebanon, centered on the city of Nabatieh and known for its historical and cultural significance in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f95838708190978dfa8bc786fb22 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.