Triple

T26776963
Position Surface form Disambiguated ID Type / Status
Subject Lingling E670142 entity
Predicate hasChineseName P4878 FINISHED
Object 零陵
零陵是中国湖南省南部的一个历史悠久的地名与行政区，因其在湘江流域的文化与交通要冲地位而闻名。
 E1741639 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: 零陵 | Statement: [Lingling, hasChineseName, 零陵]
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: 零陵
Triple: [Lingling, hasChineseName, 零陵]
Generated description
零陵是中国湖南省南部的一个历史悠久的地名与行政区，因其在湘江流域的文化与交通要冲地位而闻名。

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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f619778a588190a1d2375eff7a628f completed May 2, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12095b35ec8190b505ae7ac05867d4 completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a120a8e2edc8190891be0f695a8c0e1 completed May 23, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a120b9ce700819089a799bf42cbbac9 completed May 23, 2026, 8:18 p.m.
Created at: April 27, 2026, 4:05 a.m.