Triple

T8634867
Position Surface form Disambiguated ID Type / Status
Subject Ngọc Thụy E204495 entity
Predicate hasName P744 FINISHED
Object Ngọc Thụy Ward E204495 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: Ngọc Thụy Ward | Statement: [Ngọc Thụy, hasName, Ngọc Thụy Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngọc Thụy Ward
Context triple: [Ngọc Thụy, hasName, Ngọc Thụy Ward]
  • A. Ngọc Hà Ward
    Ngọc Hà Ward is a residential and historically significant urban ward located within Ba Đình District in central Hanoi, Vietnam.
  • B. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • C. Ngọc Lâm Ward
    Ngọc Lâm Ward is an urban neighborhood in Hanoi, Vietnam, serving as the central hub of administration and services for Long Biên District.
  • D. Ngọc Thụy chosen
    Ngọc Thụy is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • E. Giảng Võ Ward
    Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc475fb9dc8190bd0d6e5edd05ea79 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc1b330c81909ff8a6806401dfd1 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.