Triple

T1807007
Position Surface form Disambiguated ID Type / Status
Subject Lebanon, Ohio E40243 entity
Predicate namedAfter P63 FINISHED
Object Mount Lebanon region E59382 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: Mount Lebanon region | Statement: [Lebanon, Ohio, namedAfter, Mount Lebanon region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Lebanon region
Context triple: [Lebanon, Ohio, namedAfter, 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. 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.
  • D. Mount Lebanon Governorate
    Mount Lebanon Governorate is a key administrative region of Lebanon that surrounds Beirut and includes major urban, coastal, and mountainous areas central to the country’s political and economic life.
  • E. Jbeil
    Jbeil is a coastal city in Lebanon widely recognized as one of the world’s oldest continuously inhabited settlements and a major archaeological and tourist destination.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.