Triple

T21590004
Position Surface form Disambiguated ID Type / Status
Subject Binh Dinh Province E532753 entity
Predicate knownFor P22 FINISHED
Object Quy Nhon City — 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: Quy Nhon City | Statement: [Binh Dinh Province, knownFor, Quy Nhon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quy Nhon City
Context triple: [Binh Dinh Province, knownFor, Quy Nhon City]
  • A. Quy Nhơn chosen
    Quy Nhơn is a coastal city in central Vietnam known for its beaches, seafood, and growing role as a regional economic and tourism hub.
  • B. Tuy Hòa city
    Tuy Hòa city is a coastal urban center in south-central Vietnam known for its beaches, rice fields, and role as the administrative and economic hub of Phú Yên province.
  • C. Tuy Hoa
    Tuy Hoa is a coastal city in south-central Vietnam known for its beaches, rice fields, and role as the capital of Phú Yên Province.
  • D. Phan Thiết
    Phan Thiết is a coastal city in south-central Vietnam known for its fishing industry, beaches, and nearby resort area of Mũi Né.
  • E. Da Nang
    Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.