Triple

T18419112
Position Surface form Disambiguated ID Type / Status
Subject Samir Bannout E441973 entity
Predicate placeOfBirth P1 FINISHED
Object Beirut 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: Beirut | Statement: [Samir Bannout, placeOfBirth, Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut
Context triple: [Samir Bannout, placeOfBirth, Beirut]
  • A. Beirut chosen
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • B. West Beirut
    West Beirut is the predominantly Muslim western sector of Lebanon’s capital, Beirut, which was heavily affected by the Lebanese Civil War and associated with key events such as the Sabra and Shatila massacre.
  • C. East Beirut
    East Beirut is the predominantly Christian, historically Phalange-aligned sector of Lebanon’s capital that served as a key stronghold during the Lebanese Civil War.
  • D. Beirut southern suburbs
    Beirut southern suburbs is a predominantly Shia, densely populated area of Beirut known as a stronghold of Hezbollah and a focal point of Lebanon’s political and security dynamics.
  • E. Tripoli, Lebanon
    Tripoli, Lebanon is the country’s second-largest city and a major Mediterranean port in the north, known for its historic Mamluk-era architecture and vibrant commercial activity.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2a0fb08190b409ed200a9d86a6 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.