Triple
T5200517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mouse (vehicle of Ganesha) |
E117380
|
entity |
| Predicate | depictedWithObject |
P42187
|
FINISHED |
| Object | sometimes shown near a bowl of sweets (modaka) |
—
|
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: sometimes shown near a bowl of sweets (modaka) | Statement: [mouse (vehicle of Ganesha), depictedWithObject, sometimes shown near a bowl of sweets (modaka)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedWithObject Context triple: [mouse (vehicle of Ganesha), depictedWithObject, sometimes shown near a bowl of sweets (modaka)]
-
A.
depictedAbove
Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
-
B.
depictedNear
chosen
Indicates that two entities are shown in close spatial proximity to each other within the same depiction or scene.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
E.
depictsAttribute
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.