Triple

T9818512
Position Surface form Disambiguated ID Type / Status
Subject Diamond Island E238467 entity
Predicate locatedNear P294 FINISHED
Object Thu Thiem New Urban Area E216860 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: Thu Thiem New Urban Area | Statement: [Diamond Island, locatedNear, Thu Thiem New Urban Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thu Thiem New Urban Area
Context triple: [Diamond Island, locatedNear, Thu Thiem New Urban Area]
  • A. Thu Thiem New Urban Area chosen
    Thu Thiem New Urban Area is a major planned financial and commercial district in Ho Chi Minh City, Vietnam, envisioned as a modern counterpart to the historic city center.
  • B. Ngọc Thụy
    Ngọc Thụy is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • C. Asiana Town
    Asiana Town is the main corporate headquarters complex of South Korea’s Asiana Airlines in Seoul.
  • D. Trang Tien area
    Trang Tien area is a central commercial and cultural neighborhood in Hanoi known for its historic architecture, upscale shops, and proximity to Hoàn Kiếm Lake.
  • E. Tu Liem area
    Tu Liem area is a district-level urban area in western Hanoi, Vietnam, known for its rapid development and mix of residential, educational, and governmental 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f5bfa481908a2d2cb3f3d7d585 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc74de14819083299a549f04b2b1 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.