Triple
T1870959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Lake |
E39033
|
entity |
| Predicate | perimeter |
P33371
|
FINISHED |
| Object | about 17 kilometers |
—
|
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 17 kilometers | Statement: [West Lake, perimeter, about 17 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perimeter Context triple: [West Lake, perimeter, about 17 kilometers]
-
A.
circumference
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
B.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
C.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
D.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
E.
perpendicularTo
Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
- F. None of above. chosen
Provenance (4 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb0f630e881908cd9491aeaeb4aed |
completed | March 7, 2026, 5 a.m. |
Created at: March 4, 2026, 7:34 p.m.