Triple
T18761493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Fried Eggs and a Kebab |
E458778
|
entity |
| Predicate | locationOfDepicted |
P8908
|
FINISHED |
| Object | tabletop |
—
|
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: tabletop | Statement: [Two Fried Eggs and a Kebab, locationOfDepicted, tabletop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfDepicted Context triple: [Two Fried Eggs and a Kebab, locationOfDepicted, tabletop]
-
A.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
B.
positionDepicted
Indicates that one entity visually represents or depicts the spatial position or placement of another entity.
-
C.
location depicted
chosen
Indicates that one entity visually represents or shows the place where another entity is situated or occurs.
-
D.
iconographyLocation
Indicates the place or spatial context where a particular iconographic element or visual motif is depicted or situated.
-
E.
depictedNear
Indicates that two entities are shown in close spatial proximity to each other within the same depiction or scene.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7fd5008190823bc7e37fdd6669 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.