Triple

T17652069
Position Surface form Disambiguated ID Type / Status
Subject Tesseney E429516 entity
Predicate locatedIn P40 FINISHED
Object western Eritrea NE NERFINISHED

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: western Eritrea | Statement: [Tesseney, locatedIn, western Eritrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Eritrea
Context triple: [Tesseney, locatedIn, western Eritrea]
  • A. western Eritrea chosen
    Western Eritrea is a largely lowland, semi-arid area of Eritrea known for its agricultural zones and as a traditional homeland of several ethnic groups, including the Nara people.
  • B. eastern Eritrea
    Eastern Eritrea is a region of Eritrea along the Red Sea coast characterized by arid lowlands, coastal plains, and a mix of Afar and other local communities.
  • C. Southern Eritrea
    Southern Eritrea is a region in Eritrea that forms part of the traditional homeland of the Afar people, known for its arid landscapes and pastoralist culture.
  • D. northern Eritrea
    Northern Eritrea is the region of Eritrea that encompasses part of the arid Nubian Desert along the southern Red Sea coast in northeastern Africa.
  • E. Central Eritrea
    Central Eritrea is an administrative region of Eritrea that includes the capital city Asmara and serves as a political and cultural hub of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3e0ae481908382570f802d8144 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.