Triple

T7374212
Position Surface form Disambiguated ID Type / Status
Subject Assab Port E170082 entity
Predicate nearbySettlement P350 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: [Assab Port, nearbySettlement, Assab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assab
Context triple: [Assab Port, nearbySettlement, 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. 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.
  • D. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • E. Ras Lanuf
    Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a6643c81909d626c8b6a7a11fd completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810de7618819099ab4ff328255d92 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:07 p.m.