Triple

T5536691
Position Surface form Disambiguated ID Type / Status
Subject Port of Beirut E145178 entity
Predicate serves P98 FINISHED
Object Beirut metropolitan area E4667 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 metropolitan area | Statement: [Port of Beirut, serves, Beirut metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut metropolitan area
Context triple: [Port of Beirut, serves, Beirut metropolitan area]
  • 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. Lebanon metropolitan area
    The Lebanon metropolitan area is a small urban and suburban region in south-central Pennsylvania centered on the city of Lebanon and its surrounding communities.
  • C. 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.
  • 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. Nabatieh, Lebanon
    Nabatieh is a predominantly Shia Muslim city in southern Lebanon known as a regional political and commercial center and for its major Ashura commemorations.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf51ea0481909af918fe00633b80 completed March 23, 2026, 4:19 a.m.
Created at: March 22, 2026, 3:34 p.m.