Triple

T19342562
Position Surface form Disambiguated ID Type / Status
Subject Route Coloniale 4 E483792 entity
Predicate connects P390 FINISHED
Object Lang Son 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: Lang Son | Statement: [Route Coloniale 4, connects, Lang Son]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lang Son
Context triple: [Route Coloniale 4, connects, Lang Son]
  • A. Lang Son chosen
    Lang Son is a mountainous border city in northeastern Vietnam known as a key trade gateway with China and for its surrounding karst landscapes and historical sites.
  • B. Dinh Tuong
    Dinh Tuong was a province in southern Vietnam that became a key battleground during the French Cochinchina campaign in the mid-19th century.
  • C. Vinh Yen
    Vinh Yen is an urban center in northern Vietnam that serves as the administrative, economic, and cultural hub of Vinh Phuc Province.
  • D. Phuc Yen
    Phuc Yen is a city in northern Vietnam known as an industrial and residential center within Vinh Phuc Province, near the capital Hanoi.
  • E. Cao Lanh
    Cao Lanh is a city in Vietnam’s Mekong Delta region known as an administrative, commercial, and cultural hub of Dong Thap Province.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185795bc8190a63061ca794c0d67 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:33 p.m.