Triple
T31925905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCTV Headquarters structural concept |
E815107
|
entity |
| Predicate | loadPathStrategy |
P172743
|
FINISHED |
| Object | redistribution of gravity loads through loop |
—
|
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: redistribution of gravity loads through loop | Statement: [CCTV Headquarters structural concept, loadPathStrategy, redistribution of gravity loads through loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadPathStrategy Context triple: [CCTV Headquarters structural concept, loadPathStrategy, redistribution of gravity loads through loop]
-
A.
loadPath
Indicates the file system or resource location from which something is loaded or retrieved.
-
B.
namespacePath
Indicates the hierarchical namespace location or route that defines where an entity is organized within a structured naming system.
-
C.
loaderPosition
Indicates the spatial location or placement of a loader relative to a reference point or object.
-
D.
loadType
Indicates the manner or category of how something is loaded, such as the method, configuration, or type of loading applied in a given context.
-
E.
logicalPath
Indicates a sequence of logical steps or conditions that connect one entity or state to another within a reasoning or decision process.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, 12:03 a.m.