Triple

T31443869

Position	Surface form	Disambiguated ID	Type / Status
Subject	Qiongwen	`E802137`	entity
Predicate	hasRegionSpecificName	`P40944`	FINISHED
Object	Qiongwen (瓊文 or 琼文) in Chinese Qiongwen (瓊文 or 琼文) is a Chinese term or name whose characters suggest associations with "exquisite" or "beautiful" writing, culture, or literature.	`E1963095`	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: Qiongwen (瓊文 or 琼文) in Chinese | Statement: [Qiongwen, hasRegionSpecificName, Qiongwen (瓊文 or 琼文) in Chinese]

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: Qiongwen (瓊文 or 琼文) in Chinese
Triple: [Qiongwen, hasRegionSpecificName, Qiongwen (瓊文 or 琼文) in Chinese]

Generated description

Qiongwen (瓊文 or 琼文) is a Chinese term or name whose characters suggest associations with "exquisite" or "beautiful" writing, culture, or literature.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasRegionSpecificName
Context triple: [Qiongwen, hasRegionSpecificName, Qiongwen (瓊文 or 琼文) in Chinese]

A. hasRegionalName chosen
Indicates that an entity is known by a specific name or designation within a particular region or locality.
B. hasRegionalIdentity
Indicates that an entity possesses or is associated with a specific regional or local identity.
C. hasRegionalHolidayName
Indicates that a regional holiday is associated with a specific name or designation used to refer to it.
D. countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
E. hasRegionCode
Indicates that an entity is associated with a specific regional identifier or code.
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_69f348c5a6bc819092a557e95438976f`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_6a0160834e388190908591b300954d29`	completed	May 11, 2026, 4:52 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b0782ed908190a2eeb41622f68ace`	completed	June 11, 2026, 7:07 p.m.
NEDg	Description generation	`batch_6a2b0846c0c88190b7c1b6a06e958fa3`	completed	June 11, 2026, 7:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2b09b430388190832809716830d009`	completed	June 11, 2026, 7:17 p.m.
PD	Predicate disambiguation	`batch_6a01602a83408190a11d754bdc7da0e9`	completed	May 11, 2026, 4:50 a.m.

Created at: April 30, 2026, 9:08 p.m.