Triple

T21526641
Position Surface form Disambiguated ID Type / Status
Subject Ngo Dinh Can E531112 entity
Predicate placeOfActivity P1527 FINISHED
Object Hue region 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: Hue region | Statement: [Ngo Dinh Can, placeOfActivity, Hue region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hue region
Context triple: [Ngo Dinh Can, placeOfActivity, Hue region]
  • A. Hue region chosen
    The Hue region is a historically and culturally significant area in central Vietnam, known for its former status as the imperial capital and its strong regional political influence.
  • B. Maekel Region
    Maekel Region is a central administrative region of Eritrea that includes the nation’s capital, Asmara, and serves as its political and economic hub.
  • C. Minette region
    The Minette region is an area in southern Luxembourg and neighboring parts of France known for its historical iron ore deposits and industrial heritage.
  • D. Marico region
    The Marico region is a rural area in South Africa’s North West Province known for its farming communities, natural beauty, and cultural heritage around the town of Zeerust.
  • E. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.