Triple

T19845737
Position Surface form Disambiguated ID Type / Status
Subject Merdjayoun E476854 entity
Predicate hasNameVariant P457 FINISHED
Object Marjayoun 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: Marjayoun | Statement: [Merdjayoun, hasNameVariant, Marjayoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjayoun
Context triple: [Merdjayoun, hasNameVariant, Marjayoun]
  • A. Marjayoun chosen
    Marjayoun is a historic market town in southern Lebanon overlooking the Hula Valley and Mount Hermon, known for its mixed Christian-Muslim community and strategic location near the Israeli and Syrian borders.
  • B. Kfarsaroun
    Kfarsaroun is a village located in the Koura District of northern Lebanon, known for its traditional rural character and Mediterranean setting.
  • C. Raoued
    Raoued is a coastal town and commune in northern Tunisia, situated near the capital Tunis and known for its beaches and growing suburban development.
  • D. Naqoura
    Naqoura is a coastal town in southern Lebanon that serves as a strategic location and headquarters for the United Nations Interim Force in Lebanon (UNIFIL).
  • E. Kfar Tebnit
    Kfar Tebnit is a village located in southern Lebanon’s Nabatieh Governorate, known for its rural character and proximity to the city of Nabatieh.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658091c608190b4eb9bcedd88e147 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.