Triple
T23780294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabo Monastery |
E587792
|
entity |
| Predicate | wallPaintingsSubject |
P153907
|
FINISHED |
| Object | Jataka tales |
—
|
NE NERFINISHED |
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: Jataka tales | Statement: [Tabo Monastery, wallPaintingsSubject, Jataka tales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallPaintingsSubject Context triple: [Tabo Monastery, wallPaintingsSubject, Jataka tales]
-
A.
roofPaintingsName
Indicates the naming or designation assigned to specific roof paintings.
-
B.
ceilingPaintingSubject
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
C.
wallPaintingsAge
Indicates the age or time period to which specific wall paintings belong.
-
D.
hasWallPaintingStyle
Indicates that an entity features or is associated with a particular style or type of wall painting.
-
E.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62ad61c8190a552e88bce2bad1c |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:16 p.m.