Triple
T28615553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellipse |
E724264
|
entity |
| Predicate | fillsInteriorWith |
P164923
|
FINISHED |
| Object | current brush |
—
|
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: current brush | Statement: [Ellipse, fillsInteriorWith, current brush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fillsInteriorWith Context triple: [Ellipse, fillsInteriorWith, current brush]
-
A.
wasInfilling
Indicates that one entity was in the process of filling or occupying a space, gap, or area within another entity or context.
-
B.
isSpaceFilling
Indicates that something completely occupies a given space or region without leaving gaps or overlaps.
-
C.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
D.
periodicallyFillsWith
Indicates that something becomes filled at recurring or regular intervals.
-
E.
basinFill
Indicates that a basin or low-lying area becomes filled with material, such as water or sediment, as a result of accumulation over time.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:31 a.m.