Triple
T6791637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulingyuan Scenic and Historic Interest Area |
E155944
|
entity |
| Predicate | maxPillarHeight |
P7646
|
FINISHED |
| Object | about 200 meters |
—
|
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: about 200 meters | Statement: [Wulingyuan Scenic and Historic Interest Area, maxPillarHeight, about 200 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxPillarHeight Context triple: [Wulingyuan Scenic and Historic Interest Area, maxPillarHeight, about 200 meters]
-
A.
highestPillarApproximateHeight
chosen
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
B.
highestPyramidHeight
Indicates the maximum vertical height reached by any pyramid in a given context or set.
-
C.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
D.
centralMonolithHeight
Indicates the height measurement of a central monolith relative to a defined reference or context.
-
E.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ae4d1c819089ac6b3abf11a341 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.