Triple
T6476526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampton Court Maze |
E146085
|
entity |
| Predicate | lengthOfPaths |
P18592
|
FINISHED |
| Object | about 0.8 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 0.8 kilometers | Statement: [Hampton Court Maze, lengthOfPaths, about 0.8 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfPaths Context triple: [Hampton Court Maze, lengthOfPaths, about 0.8 kilometers]
-
A.
numberOfPaths
Indicates the count of distinct paths or routes that exist between specified points or within a given structure.
-
B.
networkLength
chosen
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
C.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
D.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
E.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a49b3bc8190ad80c6ca2dd15c68 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.