Triple

T2118820
Position Surface form Disambiguated ID Type / Status
Subject Cathaya E43868 entity
Predicate commonName P570 FINISHED
Object Cathaya E43868 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: Cathaya | Statement: [Cathaya, commonName, Cathaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathaya
Context triple: [Cathaya, commonName, Cathaya]
  • A. Cathaya chosen
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • E. Xijing
    Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3117c081908c5e748a869d1f9f completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae307b08148190aa201ac038ce9944 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:44 p.m.