Triple
T7966389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic Monuments of Dengfeng in “The Centre of Heaven and Earth” |
E185216
|
entity |
| Predicate | bufferZoneAreaHa |
P59766
|
FINISHED |
| Object | approximately 494 |
—
|
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: approximately 494 | Statement: [Historic Monuments of Dengfeng in “The Centre of Heaven and Earth”, bufferZoneAreaHa, approximately 494]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bufferZoneAreaHa Context triple: [Historic Monuments of Dengfeng in “The Centre of Heaven and Earth”, bufferZoneAreaHa, approximately 494]
-
A.
bufferZoneHectares
chosen
Indicates the size of the surrounding buffer zone measured in hectares.
-
B.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
C.
UNESCOWorldHeritageBufferZoneArea
Indicates the area surrounding a UNESCO World Heritage site that is designated as a buffer zone to provide additional protection to the core heritage property.
-
D.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
-
E.
hasAreaTotal
Indicates the total surface area associated with an entity, typically measured over its entire extent.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba262208190887169fe94e47b0e |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:12 p.m.