Triple

T3081551
Position Surface form Disambiguated ID Type / Status
Subject Qurnat as Sawda E64268 entity
Predicate partOf P40 FINISHED
Object Lebanon Mountains E77500 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: Lebanon Mountains | Statement: [Qurnat as Sawda, partOf, Lebanon Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon Mountains
Context triple: [Qurnat as Sawda, partOf, Lebanon Mountains]
  • A. Lebanon Mountains chosen
    The Lebanon Mountains are a prominent mountain range in Lebanon known for their high peaks, historic cedar forests, and significant influence on the region’s climate and settlement patterns.
  • B. Anti-Lebanon Mountains
    The Anti-Lebanon Mountains are a long, high mountain range forming part of the border between Syria and Lebanon, known for their snow-capped peaks and role as a key watershed in the region.
  • C. Matra Mountains
    The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
  • D. Jabal Amel
    Jabal Amel is a historic, predominantly Shiite region in southern Lebanon known for its cultural, religious, and political significance.
  • E. 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.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2035c404881908635c8514c8c1399 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.