Triple

T8784236
Position Surface form Disambiguated ID Type / Status
Subject Straight E209004 entity
Predicate commentOn P21592 FINISHED
Object building safety standards in China LITERAL 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: building safety standards in China | Statement: [Straight, commentOn, building safety standards in China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commentOn
Context triple: [Straight, commentOn, building safety standards in China]
  • A. commentedOnBy
    Indicates that an entity has received a comment authored or posted by another entity.
  • B. commentaryOn chosen
    Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
  • C. commentatedFor
    Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
  • D. metaComment
    Indicates that one statement or comment is about, analyzes, or provides commentary on another statement or comment.
  • E. metaCommentaryOn
    Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
  • F. None of above.

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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7441e8819081ea0ae7bc2afde7 completed March 31, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:42 p.m.