Triple

T2563246
Position Surface form Disambiguated ID Type / Status
Subject railway protection movement E57290 entity
Predicate location 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: [railway protection movement, location, Sichuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sichuan
Context triple: [railway protection movement, location, 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3374c648190a29b2cc209d66668 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d264db481908e9dc3b5e2e8260a completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.