Triple

T208814
Position Surface form Disambiguated ID Type / Status
Subject Beirut E4667 entity
Predicate hasPort P35 FINISHED
Object Port of Beirut
The Port of Beirut is Lebanon’s principal seaport and a major Eastern Mediterranean hub for cargo, trade, and maritime transport.
 E4667 NE FINISHED

How this triple was built (4 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: Port of Beirut | Statement: [Beirut, hasPort, Port of Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Port of Beirut
Context triple: [Beirut, hasPort, Port of Beirut]
  • A. Beirut
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • B. Tartus
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • C. Haifa
    Haifa is a major Israeli city on the Mediterranean coast, known for its significant port, mixed Jewish-Arab population, and the terraced Baháʼí Gardens on Mount Carmel.
  • D. Port of Nice
    The Port of Nice is a major harbor on the French Riviera that serves as a hub for passenger ferries, cruise ships, and local maritime activities in the city of Nice.
  • E. Limassol Marina
    Limassol Marina is a luxury waterfront development in Limassol, Cyprus, combining a modern yacht marina with upscale residences, dining, and retail facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Port of Beirut
Triple: [Beirut, hasPort, Port of Beirut]
Generated description
The Port of Beirut is Lebanon’s principal seaport and a major Eastern Mediterranean hub for cargo, trade, and maritime transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Port of Beirut
Target entity description: The Port of Beirut is Lebanon’s principal seaport and a major Eastern Mediterranean hub for cargo, trade, and maritime transport.
  • 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. Tartus
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • C. Haifa
    Haifa is a major Israeli city on the Mediterranean coast, known for its significant port, mixed Jewish-Arab population, and the terraced Baháʼí Gardens on Mount Carmel.
  • D. Port of Nice
    The Port of Nice is a major harbor on the French Riviera that serves as a hub for passenger ferries, cruise ships, and local maritime activities in the city of Nice.
  • E. Limassol Marina
    Limassol Marina is a luxury waterfront development in Limassol, Cyprus, combining a modern yacht marina with upscale residences, dining, and retail facilities.
  • F. None of above.

Provenance (5 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c071fac81908f706d1384281182 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d935eb48190a6f327ae77917d2c completed Feb. 28, 2026, 8:18 p.m.
NEDg Description generation batch_69a34e06b8488190b361506c261baab6 completed Feb. 28, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_69a34e63883c81908aa5d8d907c37720 completed Feb. 28, 2026, 8:21 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.