Triple

T21558176
Position Surface form Disambiguated ID Type / Status
Subject South Lebanon Army E531945 entity
Predicate headquartersLocation P62 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: [South Lebanon Army, headquartersLocation, Marjayoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjayoun
Context triple: [South Lebanon Army, headquartersLocation, 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. Bou Hajla
    Bou Hajla is a town in central Tunisia known for its agricultural activities and its location within the Kairouan region.
  • C. Kfarsaroun
    Kfarsaroun is a village located in the Koura District of northern Lebanon, known for its traditional rural character and Mediterranean setting.
  • D. 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.
  • E. 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).
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.