Triple
T26925523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumaradevi |
E677768
|
entity |
| Predicate | hasPortraitOn |
P24424
|
FINISHED |
| Object | Gupta gold coins |
—
|
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: Gupta gold coins | Statement: [Kumaradevi, hasPortraitOn, Gupta gold coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortraitOn Context triple: [Kumaradevi, hasPortraitOn, Gupta gold coins]
-
A.
hasPortrait
chosen
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
-
B.
hasPortraitSeries
Indicates that an entity is part of, or associated with, a specific series or collection of portrait images.
-
C.
hasPhotoOn
Indicates that one entity has an associated photograph stored, displayed, or linked on another entity (such as a platform, page, or medium).
-
D.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
E.
hasPhotographAt
Indicates that a photograph depicting an entity was taken or exists at a specific location or event.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 6:09 a.m.