Triple

T6468853
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Hotels E142296 entity
Predicate tookPlaceIn P40 FINISHED
Object Beirut Central District E147645 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: Beirut Central District | Statement: [Battle of the Hotels, tookPlaceIn, Beirut Central District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut Central District
Context triple: [Battle of the Hotels, tookPlaceIn, Beirut Central District]
  • A. 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.
  • B. Beirut Governorate
    Beirut Governorate is the smallest and most populous of Lebanon’s governorates, encompassing the capital city of Beirut as its sole district and administrative center.
  • C. Beirut
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • D. Jounieh
    Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
  • E. Beirut Souks chosen
    Beirut Souks is a major commercial district in central Beirut, combining modern architecture with reconstructed traditional market streets and hosting a wide range of shops, restaurants, and entertainment venues.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb02cb3c8190917842bb654326ee completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:49 p.m.