Triple

T6715785
Position Surface form Disambiguated ID Type / Status
Subject Gemmayzeh E153263 entity
Predicate near P350 FINISHED
Object Port of Beirut E145178 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: Port of Beirut | Statement: [Gemmayzeh, near, Port of Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Beirut
Context triple: [Gemmayzeh, near, Port of Beirut]
  • A. Port of Beirut chosen
    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. Port of Tripoli (Lebanon)
    The Port of Tripoli (Lebanon) is a major commercial seaport on Lebanon’s northern Mediterranean coast, serving as a key hub for regional trade and shipping.
  • C. 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.
  • D. Haifa Port
    Haifa Port is a major seaport on Israel’s Mediterranean coast that has long served as a key commercial and transportation hub for the region.
  • E. Port of Latakia
    Port of Latakia is Syria’s principal seaport on the Mediterranean, serving as a major hub for the country’s maritime trade and cargo traffic.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700993128819081614ccfa68d7320 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.