Triple

T7413980
Position Surface form Disambiguated ID Type / Status
Subject Huainan E171080 entity
Predicate borders P224 FINISHED
Object Lu'an E294940 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: Lu'an | Statement: [Huainan, borders, Lu'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lu'an
Context triple: [Huainan, borders, Lu'an]
  • A. Lu'an chosen
    Lu'an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain and tea production.
  • B. Liyang
    Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
  • C. Bengbu
    Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
  • D. Huai-an
    Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
  • E. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c509ac8190876f207267a33a3b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83440200081909cf0c747697d644a completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:11 p.m.