Triple

T9317978
Position Surface form Disambiguated ID Type / Status
Subject Đồng Nai River E224170 entity
Predicate flowsThrough P225 FINISHED
Object Lâm Đồng Province E558498 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: Lâm Đồng Province | Statement: [Đồng Nai River, flowsThrough, Lâm Đồng Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lâm Đồng Province
Context triple: [Đồng Nai River, flowsThrough, Lâm Đồng Province]
  • A. Lâm Đồng Province chosen
    Lâm Đồng Province is a mountainous province in Vietnam’s Central Highlands known for its cool climate, pine forests, and the tourist city of Da Lat.
  • B. Aragua state
    Aragua state is a central Venezuelan state known for its capital city Maracay, industrial activity, and diverse landscapes that include coastal areas and national parks.
  • C. Goiás
    Goiás is a large inland state in central Brazil known for its agricultural production, Cerrado savanna landscapes, and the regional capital city of Goiânia.
  • D. Idanha-a-Nova
    Idanha-a-Nova is a historic municipality in eastern Portugal near the Spanish border, known for its rural landscapes, archaeological heritage, and traditional cultural festivals.
  • E. State of Espírito Santo
    The State of Espírito Santo is a coastal state in southeastern Brazil known for its Atlantic beaches, port cities like Vitória, and a mix of mountainous inland regions and maritime economy.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7b73ff881909e936374fd90a822 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.