Triple
T28373924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 房县 |
E718704
|
entity |
| Predicate | 旅游资源 |
P55845
|
FINISHED |
| Object |
野人谷风景区
野人谷风景区是位于湖北省房县境内、以原始峡谷风光和“野人”传说闻名的山水生态旅游景区。
|
E1815243
|
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: 野人谷风景区 | Statement: [房县, 旅游资源, 野人谷风景区]
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: 野人谷风景区 Triple: [房县, 旅游资源, 野人谷风景区]
Generated description
野人谷风景区是位于湖北省房县境内、以原始峡谷风光和“野人”传说闻名的山水生态旅游景区。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 旅游资源 Context triple: [房县, 旅游资源, 野人谷风景区]
-
A.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
B.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
C.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
D.
countryTourismCategory
Indicates the tourism classification or category assigned to a country based on its tourism characteristics or status.
-
E.
hasTourismResource
chosen
Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5c0ba081908d836393db68b842 |
completed | May 2, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1627d7983c8190aa0aac8255cddaab |
completed | May 26, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_6a162923e55481909c09ac79ce541641 |
completed | May 26, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1629baced481908056a997a85a1b84 |
completed | May 26, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:01 a.m.