Triple

T37839712
Position Surface form Disambiguated ID Type / Status
Subject Wuhan metropolitan transport network E943437 entity
Predicate connectsVia P845 FINISHED
Object Wuhan–Xiaogan intercity railway
The Wuhan–Xiaogan intercity railway is a regional high-speed rail line in Hubei, China, linking the city of Wuhan with nearby Xiaogan as part of the area’s suburban commuter network.
E2248071 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: Wuhan–Xiaogan intercity railway | Statement: [Wuhan metropolitan transport network, connectsVia, Wuhan–Xiaogan intercity railway]
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: Wuhan–Xiaogan intercity railway
Triple: [Wuhan metropolitan transport network, connectsVia, Wuhan–Xiaogan intercity railway]
Generated description
The Wuhan–Xiaogan intercity railway is a regional high-speed rail line in Hubei, China, linking the city of Wuhan with nearby Xiaogan as part of the area’s suburban commuter network.

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_69f76eeb0f7081908d6d3adbc469889c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb1f4b7f48190a6228ddf7b5c9c4a completed May 6, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cb61fc88190ae8abea979e50eaa completed June 28, 2026, 11:59 a.m.
NEDg Description generation batch_6a410d5215e88190b53f93c0bfc61bfd completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e09a0d48190aae6deab051064a3 completed June 28, 2026, 12:05 p.m.
Created at: May 3, 2026, 4:19 p.m.