Triple

T16189107
Position Surface form Disambiguated ID Type / Status
Subject Metera E392887 entity
Predicate locatedNear P294 FINISHED
Object Senafe E392885 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: Senafe | Statement: [Metera, locatedNear, Senafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senafe
Context triple: [Metera, locatedNear, Senafe]
  • A. Senafe chosen
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • B. Bishoftu
    Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
  • C. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • D. Gafat
    Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
  • E. Debre Birhan
    Debre Birhan is a historic highland city in central Ethiopia known for its cool climate, religious heritage, and role as a regional center in the Amhara Region.
  • 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_69e222d3a8e48190bdf29a633f4b0490 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.