Triple

T8600580
Position Surface form Disambiguated ID Type / Status
Subject French Quarter of Hanoi E203662 entity
Predicate near P350 FINISHED
Object Hoan Kiem Lake E38736 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: Hoan Kiem Lake | Statement: [French Quarter of Hanoi, near, Hoan Kiem Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoan Kiem Lake
Context triple: [French Quarter of Hanoi, near, Hoan Kiem Lake]
  • A. Hoàn Kiếm Lake chosen
    Hoàn Kiếm Lake is a historic freshwater lake in central Hanoi, Vietnam, renowned as a cultural and spiritual landmark associated with the legend of the returned sword.
  • B. Nghĩa Đô Lake
    Nghĩa Đô Lake is a small urban lake and green space located in Cầu Giấy District of Hanoi, Vietnam.
  • C. Linh Chieu Lake
    Linh Chieu Lake is the small, historic lotus pond that surrounds and reflects the iconic One Pillar Pagoda in Hanoi, Vietnam.
  • D. Nam Van Lake
    Nam Van Lake is a prominent artificial lake and leisure area in Macau, known for its waterfront promenades, city views, and role as a venue for cultural and sporting events.
  • E. Kunming Lake
    Kunming Lake is a large, scenic man-made lake in Beijing that forms the central water feature of the Summer Palace imperial garden complex.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc839cdc819093c3cd0e44f173a2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:24 p.m.