Triple
T19154602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上川岛 |
E468898
|
entity |
| Predicate | 旅游开发程度 |
P70107
|
FINISHED |
| Object | 已开发海岛旅游区 |
—
|
LITERAL 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: 已开发海岛旅游区 | Statement: [上川岛, 旅游开发程度, 已开发海岛旅游区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 旅游开发程度 Context triple: [上川岛, 旅游开发程度, 已开发海岛旅游区]
-
A.
tourismDevelopmentLevel
chosen
Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
-
B.
hasTourismImpactOn
Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
-
C.
hasTourismPotential
Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
-
D.
hasTourismIndustry
Indicates that a place or region possesses an established tourism industry, involving organized services and activities catering to visitors and travelers.
-
E.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb81bf08190b0352137eb4a5763 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.