Triple
T32726068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 遗爱湖 |
E836804
|
entity |
| Predicate | 环境属性 |
P126032
|
FINISHED |
| Object | 生态湖泊 |
—
|
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: 生态湖泊 | Statement: [遗爱湖, 环境属性, 生态湖泊]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 环境属性 Context triple: [遗爱湖, 环境属性, 生态湖泊]
-
A.
hasEnvironmentalAttribute
chosen
Indicates that an entity possesses a specific environmental property, condition, or characteristic.
-
B.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
C.
environmentalFeatureOf
Indicates a relationship where one entity is a natural or environmental characteristic, component, or attribute of another entity or place.
-
D.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
E.
hasEnvironmentalImpactType
Indicates that something affects the environment in a specific way categorized by a particular type of impact.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b80b508190b03c5a5859c695fe |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.