Triple

T30155543
Position Surface form Disambiguated ID Type / Status
Subject 长江武汉段 E766509 entity
Predicate 经过著名景观 P41742 FINISHED
Object 武汉长江大桥
武汉长江大桥是横跨长江、连接汉阳与武昌的中国首座公铁两用特大型桥梁，也是武汉的重要城市地标与交通枢纽。
 E1905164 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: 武汉长江大桥 | Statement: [长江武汉段, 经过著名景观, 武汉长江大桥]
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: 武汉长江大桥
Triple: [长江武汉段, 经过著名景观, 武汉长江大桥]
Generated description
武汉长江大桥是横跨长江、连接汉阳与武昌的中国首座公铁两用特大型桥梁，也是武汉的重要城市地标与交通枢纽。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 经过著名景观
Context triple: [长江武汉段, 经过著名景观, 武汉长江大桥]
  • A. hasFamousScenicArea
    Indicates that an entity possesses or is associated with a well-known and notable scenic area.
  • B. hasScenicPassNearby
    Indicates that a location is situated close to a notable scenic pass, such as a mountain or landscape viewpoint route.
  • C. hasScenicRoutes
    Indicates that one location, path, or area offers routes that are visually attractive or notable for their natural or aesthetic scenery.
  • D. isPartOfScenicVista chosen
    Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
  • E. hasScenicDrive
    Indicates that one entity offers or features a visually appealing or picturesque driving route associated with it.
  • 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27642ff3a08190a24d2969e944f25f completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a27652b29448190b6e9e9891ab878d3 completed June 9, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a2766191bf48190bc484ef33593dc28 completed June 9, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.