Triple

T7534117
Position Surface form Disambiguated ID Type / Status
Subject Yuelu District E178103 entity
Predicate borders P224 FINISHED
Object Tianxin District E176100 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: Tianxin District | Statement: [Yuelu District, borders, Tianxin District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianxin District
Context triple: [Yuelu District, borders, Tianxin District]
  • A. Tianxin District chosen
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • B. Wanhua District
    Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
  • C. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • D. Tianjia'an District
    Tianjia'an District is an urban administrative district and the central area of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
  • E. Xicheng District
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84a9d28819084ebfc44fcb2c29c completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9765b3c5081908c3114271b5d3e15 completed March 29, 2026, 6:58 p.m.
Created at: March 27, 2026, 3:47 p.m.