Triple

T5636431
Position Surface form Disambiguated ID Type / Status
Subject Ain El Mreisseh E147959 entity
Predicate hasViewOf P854 FINISHED
Object Beirut coastline 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 coastline | Statement: [Ain El Mreisseh, hasViewOf, Beirut coastline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut coastline
Context triple: [Ain El Mreisseh, hasViewOf, Beirut coastline]
  • A. Corniche Beirut chosen
    Corniche Beirut is a popular seaside promenade in Beirut known for its Mediterranean views, palm-lined walkway, and vibrant social atmosphere.
  • B. Syrian coast
    The Syrian coast is a historically rich eastern Mediterranean shoreline region encompassing ancient port cities and cultural centers such as Ugarit.
  • C. Jounieh
    Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
  • D. 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.
  • E. 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.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022809f708190ab859aa446683b10 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dae1744819083cc8827ade7478c completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.