Triple

T23012430
Position Surface form Disambiguated ID Type / Status
Subject Nam Dan (township) E572942 entity
Predicate hasName P744 FINISHED
Object Thị trấn Nam Đàn 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: Thị trấn Nam Đàn | Statement: [Nam Dan (township), hasName, Thị trấn Nam Đàn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thị trấn Nam Đàn
Context triple: [Nam Dan (township), hasName, Thị trấn Nam Đàn]
  • A. Thị trấn Chi Đông
    Thị trấn Chi Đông is a township-level administrative unit in Vietnam, serving as a local urban and governance center for its surrounding rural area.
  • B. Nam Đàn township chosen
    Nam Đàn township is an administrative and urban center in Nghệ An Province, Vietnam, known for serving as the political and economic hub of Nam Đàn District.
  • C. Chengguan town
    Chengguan town is the main urban hub and political, economic, and cultural center of Yuzhong County in Gansu Province, China.
  • D. Shangchuan Town
    Shangchuan Town is a coastal township-level settlement in Guangdong Province, China, serving as the main administrative and population center for the Shangchuan Island area near Xiachuan Island.
  • E. Thị trấn Văn Điển
    Thị trấn Văn Điển is a township-level administrative unit located in the Thanh Trì District on the outskirts of Hanoi, Vietnam.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e202a481908d7a2f00a12229a0 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.