Triple

T29916299
Position Surface form Disambiguated ID Type / Status
Subject Puxian Min E759803 entity
Predicate hasNameInChinese P4878 FINISHED
Object 莆仙话
莆仙话是一种在中国福建省莆田、仙游一带使用的闽语方言，以其独特的语音和词汇系统而著称。
 E1891531 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: 莆仙话 | Statement: [Puxian Min, hasNameInChinese, 莆仙话]
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: 莆仙话
Triple: [Puxian Min, hasNameInChinese, 莆仙话]
Generated description
莆仙话是一种在中国福建省莆田、仙游一带使用的闽语方言，以其独特的语音和词汇系统而著称。

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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6778f9c248190b61955450e10fd02 completed May 2, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271417f21c81908d7a820b63d2fafd completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a27162eea248190a3d464ac343d7956 completed June 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a271859acbc8190b25374aefc5379d8 completed June 8, 2026, 7:30 p.m.
Created at: April 29, 2026, 6:12 p.m.