Triple

T7177432
Position Surface form Disambiguated ID Type / Status
Subject Thai Binh Province E167354 entity
Predicate hasSettlement P1068 FINISHED
Object Thai Binh City E647415 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: Thai Binh City | Statement: [Thai Binh Province, hasSettlement, Thai Binh City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Binh City
Context triple: [Thai Binh Province, hasSettlement, Thai Binh City]
  • A. Thai Binh City chosen
    Thai Binh City is an urban center in northern Vietnam that serves as the political, economic, and cultural hub of Thai Binh Province.
  • B. Biên Hòa
    Biên Hòa is a major industrial city in southern Vietnam, located near Ho Chi Minh City along the Đồng Nai River.
  • C. Thai Binh Province
    Thai Binh Province is a coastal agricultural province in Vietnam’s Red River Delta, known especially for its rice cultivation and dense rural population.
  • D. Ninh Binh City
    Ninh Binh City is an urban center in northern Vietnam known as the gateway to the scenic karst landscapes and cultural sites of the surrounding Ninh Binh Province.
  • E. Binh Duong Province
    Binh Duong Province is an industrially developed province in southern Vietnam, located just north of Ho Chi Minh City along key waterways and transport routes.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf8a5d7c8190a7b52d46529dacb7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.