Triple

T14787191
Position Surface form Disambiguated ID Type / Status
Subject 太庙 E347557 entity
Predicate 位于 P40 FINISHED
Object 中国北京市 E751409 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: 中国北京市 | Statement: [太庙, 位于, 中国北京市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中国北京市
Context triple: [太庙, 位于, 中国北京市]
  • A. 西城区
    西城区是中国北京市中心的一个重要城区,以其丰富的历史文化遗产和众多政府机关、金融机构的集中分布而著称。
  • B. Pekin, New York, United States
    Pekin, New York, United States is a small hamlet best known as the birthplace of the Free Methodist Church, an evangelical Protestant denomination founded there in the 19th century.
  • C. Beijing city center
    Beijing city center is the historic and administrative core of China’s capital, encompassing major government institutions, commercial districts, and cultural landmarks within the inner urban area.
  • D. Xicheng District, Beijing
    Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
  • E. Beijing area chosen
    The Beijing area is the political and cultural heartland surrounding China’s capital city, historically significant as a center of imperial rule, republican politics, and modern governance.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.