Triple

T3888966
Position Surface form Disambiguated ID Type / Status
Subject Tea Horse Road E88010 entity
Predicate region P40 FINISHED
Object Sichuan E38082 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: Sichuan | Statement: [Tea Horse Road, region, Sichuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sichuan
Context triple: [Tea Horse Road, region, Sichuan]
  • A. Sichuan Province chosen
    Sichuan Province is a populous landlocked region in southwestern China known for its spicy cuisine, rich cultural heritage, and diverse mountainous landscapes including parts of the Tibetan Plateau.
  • B. Sichuan Basin
    The Sichuan Basin is a large, fertile lowland region in southwestern China, surrounded by mountains and known as a major agricultural and population center.
  • C. Shíyàn
    Shíyàn is the Hanyu Pinyin romanization of the Chinese city name Shiyan, located in Hubei Province, China.
  • D. Shandong
    Shandong is a coastal province in eastern China that has historically been a significant political, military, and cultural center, notably during various conflicts in modern Chinese history.
  • E. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecad4bf081909ae45a69d22468fa completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8f299c8190a6a53ec59837b402 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.