Triple

T17619163
Position Surface form Disambiguated ID Type / Status
Subject South Central Coast E429663 entity
Predicate hasMajorCity P316 FINISHED
Object Tam Ky 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: Tam Ky | Statement: [South Central Coast, hasMajorCity, Tam Ky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tam Ky
Context triple: [South Central Coast, hasMajorCity, Tam Ky]
  • A. Tam Kỳ chosen
    Tam Kỳ is a city in central Vietnam that serves as the capital of Quảng Nam Province and a regional administrative and transportation hub.
  • B. Tung-Yen
    Tung-Yen is the Chinese given name of T.Y. Lin, the influential civil engineer renowned for his pioneering work in modern prestressed concrete design.
  • C. Ko Taen
    Ko Taen is a small, tranquil island in southern Thailand known for its quiet beaches, coral reefs, and snorkeling spots near Ko Samui.
  • D. Tonkin Liu
    Tonkin Liu is a British architecture and design practice known for its innovative, sculptural public artworks and environmentally responsive structures.
  • E. Nam Ou
    Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3489dc8190a619c58025dbb250 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.