Triple

T32383583
Position Surface form Disambiguated ID Type / Status
Subject Changdu Gan E827485 entity
Predicate hasAlternativeName P39 FINISHED
Object Changdu dialect of Gan Chinese
The Changdu dialect of Gan Chinese is a regional variety of the Gan Sinitic language spoken in and around Changdu, characterized by its own distinct phonological and lexical features.
 E2003881 NE 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: Changdu dialect of Gan Chinese | Statement: [Changdu Gan, hasAlternativeName, Changdu dialect of Gan 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: Changdu dialect of Gan Chinese
Triple: [Changdu Gan, hasAlternativeName, Changdu dialect of Gan Chinese]
Generated description
The Changdu dialect of Gan Chinese is a regional variety of the Gan Sinitic language spoken in and around Changdu, characterized by its own distinct phonological and lexical features.

Provenance (5 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_69f349177ddc8190ab0583f05597056b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1cde63c8190ad546f0a9b61b2a1 completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8bbe1b48190b56500c77e034229 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea4c34688190b92a5cc87b56bd08 completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342cb4168c8190bdbf08ddae3d6811 completed June 18, 2026, 5:36 p.m.
Created at: May 1, 2026, 12:51 a.m.