Triple
T25451321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maoyan River |
E637788
|
entity |
| Predicate | hasUNESCOStatusThrough |
P2499
|
FINISHED |
| Object | Wulingyuan Scenic and Historic Interest Area |
—
|
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: Wulingyuan Scenic and Historic Interest Area | Statement: [Maoyan River, hasUNESCOStatusThrough, Wulingyuan Scenic and Historic Interest Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUNESCOStatusThrough Context triple: [Maoyan River, hasUNESCOStatusThrough, Wulingyuan Scenic and Historic Interest Area]
-
A.
hasUNESCOCandidateSite
Indicates that an entity possesses or includes at least one site that is a candidate for inscription on the UNESCO World Heritage List.
-
B.
yearOfUNESCORecognition
Indicates the specific year in which something was officially recognized or inscribed by UNESCO.
-
C.
unescoDesignation
Indicates that an entity has been granted a specific designation or status by UNESCO.
-
D.
hasWorldHeritageSite
chosen
Indicates that a location or entity possesses or contains a site designated as a UNESCO World Heritage Site.
-
E.
UNESCOListStatus
Indicates that an entity has a specific recognition or classification status in relation to an official UNESCO list.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 2:03 p.m.