Triple

T16189514
Position Surface form Disambiguated ID Type / Status
Subject Battle of Massawa E392896 entity
Predicate location P40 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: [Battle of Massawa, location, Massawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massawa
Context triple: [Battle of Massawa, location, 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d4ab8081909a02e5138b29b83b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:02 a.m.