Triple

T9188699
Position Surface form Disambiguated ID Type / Status
Subject Ngã Tư Sở E220523 entity
Predicate connectsDistrict P2564 FINISHED
Object Hà Đông area E214033 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: Hà Đông area | Statement: [Ngã Tư Sở, connectsDistrict, Hà Đông area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hà Đông area
Context triple: [Ngã Tư Sở, connectsDistrict, Hà Đông area]
  • A. Hà Đông District chosen
    Hà Đông District is an urban district of Hanoi, Vietnam, known for its rapid urbanization, traditional craft villages, and role as a key gateway area in the southwest of the capital.
  • B. Hoàng Mai District
    Hoàng Mai District is an urban district of Hanoi, Vietnam, known as one of the city’s most populous and rapidly developing residential and commercial areas.
  • C. Thanh Xuan District
    Thanh Xuan District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • D. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Beijing area
    The Beijing area is the political and cultural heartland surrounding China’s capital city, historically significant as a center of imperial rule, republican politics, and modern governance.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31d91d48190b8b8874e09c84404 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d336a081909c092230e4a46f4e completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.