Triple

T1352802
Position Surface form Disambiguated ID Type / Status
Subject Corniche Beirut E28919 entity
Predicate partOf P40 FINISHED
Object Beirut waterfront E28919 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 waterfront | Statement: [Corniche Beirut, partOf, Beirut waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut waterfront
Context triple: [Corniche Beirut, partOf, Beirut waterfront]
  • A. Port of Beirut
    The Port of Beirut is Lebanon’s principal maritime gateway and commercial hub on the Mediterranean Sea, historically central to the country’s trade and economy.
  • B. Corniche Beirut chosen
    Corniche Beirut is a popular seaside promenade in Beirut known for its Mediterranean views, palm-lined walkway, and vibrant social atmosphere.
  • 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. Beirut Souks
    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.
  • E. Sidon Port
    Sidon Port is the historic harbor of the ancient Phoenician city of Sidon in modern-day Lebanon, long known as a key Mediterranean maritime and trade hub.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400aba788190840696eccfa258e1 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:56 p.m.