Triple
T7338010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-pentomino |
E169178
|
entity |
| Predicate | initialBoundingBoxWidth |
P77129
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [R-pentomino, initialBoundingBoxWidth, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialBoundingBoxWidth Context triple: [R-pentomino, initialBoundingBoxWidth, 3]
-
A.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
B.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
C.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
-
D.
frameWidth
Indicates the measurement of how wide a frame is, typically specifying its horizontal extent or thickness.
-
E.
encodingWidth
Indicates the width dimension used when encoding a signal, image, or data stream.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.