Triple
T37554393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgement Legplates |
E933659
|
entity |
| Predicate | setSizeContext |
P188285
|
FINISHED |
| Object | part of an 8-piece tier set |
—
|
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: part of an 8-piece tier set | Statement: [Judgement Legplates, setSizeContext, part of an 8-piece tier set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setSizeContext Context triple: [Judgement Legplates, setSizeContext, part of an 8-piece tier set]
-
A.
setSize
Indicates assigning or changing the size or dimensions of an entity.
-
B.
contextWindowSize
Indicates the size or limit of the surrounding information span considered when processing or interpreting data or text.
-
C.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
D.
figureSizeClass
Indicates the classification of a figure based on its relative or absolute size within a given context.
-
E.
controlBaselineSize
Indicates that one entity regulates or sets the standard reference size against which other sizes or variations are measured.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba61d2214819091ae6793bfefb1f0 |
completed | May 6, 2026, 8:35 p.m. |
Created at: May 3, 2026, 4:17 p.m.