Triple
T4060391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 颐和园 |
E86196
|
entity |
| Predicate | 功能 |
P40816
|
FINISHED |
| Object | 清代皇家行宫 |
—
|
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: 清代皇家行宫 | Statement: [颐和园, 功能, 清代皇家行宫]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 功能 Context triple: [颐和园, 功能, 清代皇家行宫]
-
A.
featuresMethod
Indicates that an entity includes or provides a particular method as part of its functionality or behavior.
-
B.
featuresOrchestrationBy
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
-
E.
providesFunctionalityOf
chosen
Indicates that one entity supplies, implements, or makes available the capabilities or functions that are normally associated with another 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.