Triple

T16760654
Position Surface form Disambiguated ID Type / Status
Subject Red Sea Region E407333 entity
Predicate containsCity P294 FINISHED
Object Assab E170082 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: Assab | Statement: [Red Sea Region, containsCity, Assab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assab
Context triple: [Red Sea Region, containsCity, Assab]
  • A. Assab Port chosen
    Assab Port is a strategic seaport in Eritrea on the Red Sea, serving as a key maritime hub near the Bab-el-Mandeb Strait for regional trade and shipping.
  • B. Massawa
    Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
  • C. Soddo
    Soddo is a dialect of the Eastern Gurage branch of the Semitic languages spoken in Ethiopia.
  • D. Asmara
    Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
  • E. Awasa
    Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abec638c81909d71ff452a4123c9 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014136275c819084da2756632e0f48 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:21 a.m.