Triple

T74794
Position Surface form Disambiguated ID Type / Status
Subject Libya E1495 entity
Predicate majorPort P528 FINISHED
Object Benghazi E6209 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: Benghazi | Statement: [Libya, majorPort, Benghazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benghazi
Context triple: [Libya, majorPort, Benghazi]
  • A. Benghazi chosen
    Benghazi is a major port city in eastern Libya that has historically served as a key political, economic, and cultural center of the country.
  • B. Libya
    Libya is a North African country on the Mediterranean coast, known for its vast desert landscapes, significant oil reserves, and history spanning from ancient civilizations to modern political upheavals.
  • C. Beirut
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • D. Tunisia
    Tunisia is a North African country on the Mediterranean coast, known for its strategic location, ancient Carthaginian and Roman heritage, and role as a key battleground in World War II.
  • E. Iraq
    Iraq is a Middle Eastern country historically significant for its ancient Mesopotamian civilizations and its major role in 20th- and 21st-century geopolitics and conflicts.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f1b99a48190aec004ecd49b4a0d completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25abc7b648190b8a83a05f4c76af0 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.