Triple

T15978310
Position Surface form Disambiguated ID Type / Status
Subject Anyanya E387506 entity
Predicate operationalArea P794 FINISHED
Object Equatoria E487047 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: Equatoria | Statement: [Anyanya, operationalArea, Equatoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Equatoria
Context triple: [Anyanya, operationalArea, Equatoria]
  • A. Equatoria region chosen
    The Equatoria region is a historically significant area in southern South Sudan known for its diverse ethnic groups, fertile land, and role as a political and cultural center of the country.
  • B. Ennedi
    Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
  • C. Ouaddaï
    Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
  • D. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • E. Río de Oro
    Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575362e081909ff36e4d3c15ff2f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.