Triple

T3030716
Position Surface form Disambiguated ID Type / Status
Subject Nabatieh E82886 entity
Predicate locatedIn P40 FINISHED
Object southern Lebanon E109401 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: southern Lebanon | Statement: [Nabatieh, locatedIn, southern Lebanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Lebanon
Context triple: [Nabatieh, locatedIn, southern Lebanon]
  • A. southern Lebanon chosen
    Southern Lebanon is the region of Lebanon bordering Israel and the Mediterranean Sea, historically marked by conflict and the presence of international peacekeeping forces.
  • B. Greater Lebanon
    Greater Lebanon was a political entity created in 1920 under French colonial rule that expanded the boundaries of Mount Lebanon to form the basis of the modern state of Lebanon.
  • C. 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.
  • 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. Naqoura, Lebanon
    Naqoura, Lebanon is a coastal town in southern Lebanon best known as the base of operations and headquarters for the United Nations peacekeeping mission UNIFIL.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aee2fec81908116939a8d773fc4 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1debd245c819081eb2dec470f9156 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.