Triple

T32384885
Position Surface form Disambiguated ID Type / Status
Subject Cold Food Festival E827519 entity
Predicate linguisticName P167262 FINISHED
Object 寒食节
寒食节是中国传统节日之一，源于对介子推的纪念，习俗多为禁火冷食，被视为清明节的前奏。
 E2003903 NE FINISHED

How this triple was built (3 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: 寒食节 | Statement: [Cold Food Festival, linguisticName, 寒食节]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 寒食节
Triple: [Cold Food Festival, linguisticName, 寒食节]
Generated description
寒食节是中国传统节日之一，源于对介子推的纪念，习俗多为禁火冷食，被视为清明节的前奏。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: linguisticName
Context triple: [Cold Food Festival, linguisticName, 寒食节]
  • A. hasLinguisticName chosen
    Indicates that an entity is associated with a specific linguistic name or label used to refer to it in a language.
  • B. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • C. languageName
    Indicates the specific name assigned to a language in the relationship.
  • D. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • E. linguisticIdentity
    Indicates that two or more entities share, express, or are characterized by the same language or linguistic affiliation.
  • F. None of above.

Provenance (6 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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8bbe1b48190b56500c77e034229 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea4c34688190b92a5cc87b56bd08 completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342cb4168c8190bdbf08ddae3d6811 completed June 18, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 12:51 a.m.