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 |
—
|
NE NERFINISHED |
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: 武汉长江大桥 | Statement: [长江武汉段, 经过著名景观, 武汉长江大桥]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.