Triple

T15460943
Position Surface form Disambiguated ID Type / Status
Subject Nhat Tan Bridge E371895 entity
Predicate namedAfter P63 FINISHED
Object Nhat Tan Ward E827073 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: Nhat Tan Ward | Statement: [Nhat Tan Bridge, namedAfter, Nhat Tan Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nhat Tan Ward
Context triple: [Nhat Tan Bridge, namedAfter, Nhat Tan Ward]
  • A. Nhat Tan Ward chosen
    Nhat Tan Ward is an urban administrative subdivision of Hanoi, Vietnam, known for its traditional flower villages and location along the Red River in Tay Ho District.
  • B. Kim Giang Ward
    Kim Giang Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
  • C. Ngọc Khánh Ward
    Ngọc Khánh Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District.
  • D. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • E. Thuy Khue Ward
    Thuy Khue Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cfd76cc8190b3d8148ffe872887 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:32 a.m.