Triple

T6811740
Position Surface form Disambiguated ID Type / Status
Subject Thuan Phuoc Bridge E156649 entity
Predicate connects P390 FINISHED
Object Son Tra District E632757 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: Son Tra District | Statement: [Thuan Phuoc Bridge, connects, Son Tra District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son Tra District
Context triple: [Thuan Phuoc Bridge, connects, Son Tra District]
  • A. Son Tra District chosen
    Son Tra District is a coastal urban district of Da Nang, Vietnam, encompassing the Son Tra Peninsula and known for its beaches, natural reserves, and tourism.
  • B. Son Tinh District
    Son Tinh District is an administrative district in Quang Ngai Province, central Vietnam, historically known as the area where the Mỹ Lai massacre occurred during the Vietnam War.
  • C. Le Thuy District
    Le Thuy District is a rural district in Quang Binh Province, Vietnam, best known as the birthplace of General Vo Nguyen Giap.
  • D. Ô Môn District
    Ô Môn District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its canal networks, rice cultivation, and growing industrial and service activities.
  • E. Cau Giay District
    Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a309dd4c81909f2a652f211911bc completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:16 p.m.