Triple
T19099512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gond painting |
E467491
|
entity |
| Predicate | contemporarySupport |
P134366
|
FINISHED |
| Object | paper |
—
|
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: paper | Statement: [Gond painting, contemporarySupport, paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporarySupport Context triple: [Gond painting, contemporarySupport, paper]
-
A.
currentSupport
Indicates that one entity is presently providing assistance, backing, or resources to another.
-
B.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
C.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
D.
contemporaryPresenceIn
Indicates that an entity exists or is present in a particular place, context, or timeframe at the same time as another specified reference point or entity.
-
E.
contemporaryDescription
Indicates that one entity provides a description or account of another entity that is current or relevant to the same time period.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36c55688190b4a5135ea10c9924 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.