Triple

T7144103
Position Surface form Disambiguated ID Type / Status
Subject Ghassan Kanafani E166519 entity
Predicate workedIn P1527 FINISHED
Object Beirut 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 | Statement: [Ghassan Kanafani, workedIn, Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beirut
Context triple: [Ghassan Kanafani, workedIn, Beirut]
  • 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. East Beirut
    East Beirut is the predominantly Christian, historically Phalange-aligned sector of Lebanon’s capital that served as a key stronghold during the Lebanese Civil War.
  • C. Beirut Central District
    Beirut Central District is the historic and commercial heart of Beirut, characterized by its blend of preserved heritage architecture, modern urban design, and role as a major cultural, financial, and social hub of Lebanon.
  • D. Greater Beirut
    Greater Beirut is the densely populated metropolitan area surrounding Lebanon’s capital, encompassing Beirut and its adjacent suburbs as the country’s primary urban, economic, and cultural hub.
  • E. Jounieh
    Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d027d0819088598b2a9f71b1b7 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8e72bf081909bb63a4b6f2613df completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:46 p.m.