Triple

T9335076
Position Surface form Disambiguated ID Type / Status
Subject Italian colonization of Eritrea E224622 entity
Predicate officialName P66 FINISHED
Object Colonia Eritrea E16113 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: Colonia Eritrea | Statement: [Italian colonization of Eritrea, officialName, Colonia Eritrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia Eritrea
Context triple: [Italian colonization of Eritrea, officialName, Colonia Eritrea]
  • A. 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.
  • B. Eritrea chosen
    Eritrea is a country in the Horn of Africa known for its Red Sea coastline, diverse ethnic groups, and complex political history since gaining independence from Ethiopia in 1993.
  • C. Eskra
    Eskra is a small rural village and townland in County Tyrone, Northern Ireland.
  • 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. 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ee53988190bcc76588edbc2858 completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3ce039081909c1f6fe0c52d6b54 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.