Triple

T26946518
Position Surface form Disambiguated ID Type / Status
Subject Haifeng County E678657 entity
Predicate revolutionaryBaseArea P99383 FINISHED
Object Hai-Lu-Feng Soviet area
The Hai-Lu-Feng Soviet area was one of the earliest rural revolutionary bases established by the Chinese Communist Party in eastern Guangdong during the late 1920s.
 E1748542 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: Hai-Lu-Feng Soviet area | Statement: [Haifeng County, revolutionaryBaseArea, Hai-Lu-Feng Soviet area]
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: Hai-Lu-Feng Soviet area
Triple: [Haifeng County, revolutionaryBaseArea, Hai-Lu-Feng Soviet area]
Generated description
The Hai-Lu-Feng Soviet area was one of the earliest rural revolutionary bases established by the Chinese Communist Party in eastern Guangdong during the late 1920s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: revolutionaryBaseArea
Context triple: [Haifeng County, revolutionaryBaseArea, Hai-Lu-Feng Soviet area]
  • A. liberatedArea
    Indicates that a particular area has been freed from control, occupation, or domination by a previously prevailing power or force.
  • B. rebelBase chosen
    Indicates a location that serves as a primary stronghold, headquarters, or operational center for a rebel or resistance group.
  • C. servesAsTerritorialBaseFor
    Indicates that a place or area functions as the primary territorial base or stronghold from which an entity operates or exerts influence.
  • D. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • E. coreZoneArea
    Indicates the area or spatial extent of a designated core zone within a larger region or system.
  • 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_69eeeb4d69588190a7c912164a1c37b3 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f620858a4081909de8afda69398553 completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121eca854c8190a9b87bbb5132a925 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a12208403ac8190a405cbe0a245ab4a completed May 23, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a12210f8ae881908b5f0a9fceb7bcf7 completed May 23, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 6:21 a.m.