Triple

T37388755
Position Surface form Disambiguated ID Type / Status
Subject 广州国际金融城（规划） E928643 entity
Predicate 相关领域 P188022 FINISHED
Object 城市规划 — 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: 城市规划 | Statement: [广州国际金融城（规划）, 相关领域, 城市规划]
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 相关领域
Context triple: [广州国际金融城（规划）, 相关领域, 城市规划]
  • A. 相关学院
    Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
  • B. 相关政策
    Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
  • C. 属于
    Indicates that one entity belongs to, is a member of, or is contained within another entity or set.
  • D. 相关城市群
    Indicates a relationship where an entity is associated with, belongs to, or is relevant to a particular urban agglomeration or city cluster.
  • E. 所属大学
    Indicates that one entity is the university to which the other entity belongs or is affiliated (e.g., as a student, faculty member, or staff).
  • F. None of above. chosen

Provenance (4 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_69f76ebb10c481909b54b9dba263e29f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb9e1845e881908d19158440cf3b87 completed May 6, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69fb8d08d6988190a00794ac26078348 completed May 6, 2026, 6:48 p.m.
PDg Predicate description generation batch_69fb9e173f348190b7ab5935e4dca039 completed May 6, 2026, 8:01 p.m.
Created at: May 3, 2026, 4:16 p.m.