Triple

T34984217
Position Surface form Disambiguated ID Type / Status
Subject Red China E1008896 entity
Predicate usedToDistinguishFrom P60828 FINISHED
Object Free China
Free China was a Cold War-era term commonly used to refer to the Republic of China government based in Taiwan, in contrast to the communist government of mainland China.
 E2119803 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: Free China | Statement: [Red China, usedToDistinguishFrom, Free China]
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: Free China
Triple: [Red China, usedToDistinguishFrom, Free China]
Generated description
Free China was a Cold War-era term commonly used to refer to the Republic of China government based in Taiwan, in contrast to the communist government of mainland China.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usedToDistinguishFrom
Context triple: [Red China, usedToDistinguishFrom, Free China]
  • A. usedToSeparate
    Indicates that one entity serves as a means or tool to divide, isolate, or keep other entities apart from each other.
  • B. categoryDistinguishedFrom chosen
    Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
  • C. aimsToDistinguish
    Indicates an intention or effort by one entity to set itself or something else apart from others by highlighting differences or unique characteristics.
  • D. distinction
    Indicates that one entity is recognized, treated, or classified as different or separate from another.
  • E. usedToSpecify
    Indicates that one entity is employed to define, clarify, or determine the characteristics or identity of another entity.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b28222a4819083274fb2c3e40f8e completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b30dbce8819090cd5023e0bb4279 completed June 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a37b3e4e4e48190a694902881b3a08f completed June 21, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.