Triple

T30150961
Position Surface form Disambiguated ID Type / Status
Subject 黄浦江 E766392 entity
Predicate 分隔区域 P79155 FINISHED
Object 浦西
浦西是位于上海市黄浦江以西的主要城区区域,涵盖黄浦、静安、徐汇等核心市中心地带。
E1900516 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: 浦西 | Statement: [黄浦江, 分隔区域, 浦西]
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: 浦西
Triple: [黄浦江, 分隔区域, 浦西]
Generated description
浦西是位于上海市黄浦江以西的主要城区区域,涵盖黄浦、静安、徐汇等核心市中心地带。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 分隔区域
Context triple: [黄浦江, 分隔区域, 浦西]
  • A. separatedRegion
    Indicates that one region is distinct from and not contiguous with another region, with a clear separation between them.
  • B. separatedAsRegion
    Indicates that one entity is distinguished or partitioned from others as a distinct region or area.
  • C. 管理区分
    Indicates a classification used to distinguish how something is managed, controlled, or administered.
  • D. separatesAdministrativeUnits chosen
    Indicates that one entity serves as a boundary or divider that distinguishes or splits different administrative units from each other.
  • E. fieldDivision
    Indicates a relationship where a larger field or area is partitioned into smaller sections or subdivisions.
  • 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed4297c81909062f19b7795f181 completed May 2, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274cbe754881908b6dcfc7314ce886 completed June 8, 2026, 11:14 p.m.
NEDg Description generation batch_6a274d8dff508190b211a92328716611 completed June 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a274e7121b48190aa93319acbc9df5f completed June 8, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.