Triple

T1815799
Position Surface form Disambiguated ID Type / Status
Subject Cầu Giấy District E40432 entity
Predicate hasLake P1025 FINISHED
Object Yên Hòa Lake E211029 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: Yên Hòa Lake | Statement: [Cầu Giấy District, hasLake, Yên Hòa Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yên Hòa Lake
Context triple: [Cầu Giấy District, hasLake, Yên Hòa Lake]
  • A. Nghĩa Đô Lake chosen
    Nghĩa Đô Lake is a small urban lake and green space located in Cầu Giấy District of Hanoi, Vietnam.
  • B. Linh Chieu Lake
    Linh Chieu Lake is the small, historic lotus pond that surrounds and reflects the iconic One Pillar Pagoda in Hanoi, Vietnam.
  • C. Trúc Bạch Lake
    Trúc Bạch Lake is a small historic lake in central Hanoi, Vietnam, known for its scenic setting and its association with significant events in Vietnamese–American history.
  • D. Hoàn Kiếm Lake
    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.
  • E. Beixiu Lake
    Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f614888190a475f7df627d5f0a completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.