Triple

T7060409
Position Surface form Disambiguated ID Type / Status
Subject Daxi District E164200 entity
Predicate borderedBy P224 FINISHED
Object Sanxia District E438504 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: Sanxia District | Statement: [Daxi District, borderedBy, Sanxia District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanxia District
Context triple: [Daxi District, borderedBy, Sanxia District]
  • A. Sanxia District chosen
    Sanxia District is a suburban and historically rich district in southwestern New Taipei City, Taiwan, known for its old street, traditional architecture, and surrounding natural scenery.
  • B. Tongguan District
    Tongguan District is an urban administrative district within Tongling City in Anhui Province, eastern China, known for its role in the region’s industrial and economic activities.
  • 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. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • E. Yuhua District
    Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c90092f9ac8190a53d65cfdeafca29 completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:38 p.m.