Triple

T394166
Position Surface form Disambiguated ID Type / Status
Subject Suez Canal E8943 entity
Predicate locatedInCity P40 FINISHED
Object Port Said E44819 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 Said | Statement: [Suez Canal, locatedInCity, Port Said]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Said
Context triple: [Suez Canal, locatedInCity, Port Said]
  • A. Port Said chosen
    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.
  • B. El Arish
    El Arish is a coastal city in northeastern Egypt on the Mediterranean Sea, serving as the capital and main urban center of North Sinai Governorate.
  • C. Damietta
    Damietta is a port city in northern Egypt on the Mediterranean coast, known historically for its strategic location at the Nile Delta and its role in trade and industry.
  • D. Port Sudan
    Port Sudan is Sudan’s main seaport on the Red Sea, serving as the country’s primary hub for maritime trade and transport.
  • E. Tartus
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec77a8a08190b6f96373aa8c1346 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c029f10c8190a755e230528f3b7b completed March 1, 2026, 10:39 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.