Triple
T7864203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading Gaol |
E182574
|
entity |
| Predicate | hasCellBlocks |
P77399
|
FINISHED |
| Object | radial wings around central hub |
—
|
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: radial wings around central hub | Statement: [Reading Gaol, hasCellBlocks, radial wings around central hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCellBlocks Context triple: [Reading Gaol, hasCellBlocks, radial wings around central hub]
-
A.
numberOfCellBlocks
chosen
Indicates the total count of distinct cell blocks associated with or contained within a given entity.
-
B.
hasCells
Indicates that an entity contains, is composed of, or is associated with one or more cells.
-
C.
hasBlock
Indicates that one entity possesses, contains, or is associated with a specific block or blocking element in relation to another entity.
-
D.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
E.
hasStudentCells
Indicates that an entity contains, includes, or is associated with one or more cells designated as student cells.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36c0eaa48190a0df4c37c726546e |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:54 p.m.