Triple

T10499119
Position Surface form Disambiguated ID Type / Status
Subject Beijing Ancient Observatory E247619 entity
Predicate hasChineseName P4878 FINISHED
Object 北京古观象台 E247619 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: 北京古观象台 | Statement: [Beijing Ancient Observatory, hasChineseName, 北京古观象台]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 北京古观象台
Context triple: [Beijing Ancient Observatory, hasChineseName, 北京古观象台]
  • A. Beijing Ancient Observatory chosen
    Beijing Ancient Observatory is a historic Ming- and Qing-era astronomical observatory renowned for its large bronze instruments and role in traditional Chinese celestial observation.
  • B. 天安门
    天安门是位于北京市中心、作为中国象征性地标和重要政治历史事件发生地的著名城门与广场名称。
  • C. 圜丘坛
    圜丘坛是位于北京天坛内、明清两代皇帝举行祭天大典的重要露天祭坛建筑。
  • D. Beijing Planetarium
    Beijing Planetarium is a major public astronomy museum and educational facility in Beijing, featuring domed theaters, space science exhibits, and stargazing programs.
  • E. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098e45ec8190a02b981a06786909 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcc5816c8190a6a3927797942266 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:25 p.m.