Triple

T16760652
Position Surface form Disambiguated ID Type / Status
Subject Red Sea Region E407333 entity
Predicate administrativeCenter P1474 FINISHED
Object Massawa E416299 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: Massawa | Statement: [Red Sea Region, administrativeCenter, Massawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massawa
Context triple: [Red Sea Region, administrativeCenter, Massawa]
  • A. Massawa chosen
    Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
  • B. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • C. Med'an
    Med'an is a powerful half-orc, quarter-draenei, quarter-human mage and shaman from the Warcraft universe who plays a central role in the World of Warcraft comic series.
  • 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. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • 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_6a012ec7a4a48190802061e5cd634ea3 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:21 a.m.