Triple

T17154356
Position Surface form Disambiguated ID Type / Status
Subject She'eb E416304 entity
Predicate hasCountryCapital P8146 FINISHED
Object Asmara E92266 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: Asmara | Statement: [She'eb, hasCountryCapital, Asmara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asmara
Context triple: [She'eb, hasCountryCapital, Asmara]
  • A. Asmara chosen
    Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
  • 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. Mekele
    Mekele is the capital city of Ethiopia’s Tigray Region and a major political, economic, and cultural center in the country’s north.
  • D. Awasa
    Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
  • E. Djibouti City
    Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40a6b7c8190838e588c4fd81d95 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c5e2dc81909f843a07bbf7e41c completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:37 a.m.