Triple

T6412062
Position Surface form Disambiguated ID Type / Status
Subject Dekheila Port E127729 entity
Predicate locatedWestOf P4239 FINISHED
Object Alexandria Port E143847 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: Alexandria Port | Statement: [Dekheila Port, locatedWestOf, Alexandria Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandria Port
Context triple: [Dekheila Port, locatedWestOf, Alexandria Port]
  • A. Port of Alexandria chosen
    The Port of Alexandria is Egypt’s principal seaport on the Mediterranean Sea, serving as a major hub for the country’s maritime trade and shipping.
  • B. Alexandreia
    Alexandreia is a town in northern Greece, located in the regional unit of Imathia within Central Macedonia.
  • C. Port Said
    Port Said is a major Egyptian port city on the Mediterranean Sea, known for its strategic location at the northern entrance of the Suez Canal and its role in maritime trade.
  • D. Muscat d’Alexandrie
    Muscat d’Alexandrie is an aromatic white grape variety known for producing intensely floral, muscat-scented wines and sweet dessert styles in warm Mediterranean regions.
  • E. Alexandria
    Alexandria is the young girl whose friendship with a hospitalized stuntman drives the emotional narrative of the fantasy-drama film "The Fall" (2006).
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068d228208190ba05eeb7707482fe completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fc4dc588190ad983fde8969c20f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:42 p.m.