Triple

T960479
Position Surface form Disambiguated ID Type / Status
Subject Red Sea E20723 entity
Predicate hasCityOnCoast P969 FINISHED
Object Port Sudan E64851 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: Port Sudan | Statement: [Red Sea, hasCityOnCoast, Port Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Sudan
Context triple: [Red Sea, hasCityOnCoast, Port Sudan]
  • A. Port Sudan chosen
    Port Sudan is Sudan’s main seaport on the Red Sea, serving as the country’s primary hub for maritime trade and transport.
  • B. Port of Berbera
    The Port of Berbera is a major deep-water seaport in Somaliland that serves as a key maritime gateway for trade along the Horn of Africa and the Red Sea shipping routes.
  • C. Port of Aden
    The Port of Aden is a major natural harbor and commercial seaport in Yemen, strategically located near the entrance to the Red Sea along key international shipping routes.
  • D. Aswan
    Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
  • E. 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.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4144c208190980936347a95e233 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd72fe88190a7cdfe1afc123edd completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:40 p.m.