Triple
T4298008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirak Mirza Ghiyas |
E99762
|
entity |
| Predicate | broughtToIndia |
P33453
|
FINISHED |
| Object | Persian garden-tomb concept |
—
|
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: Persian garden-tomb concept | Statement: [Mirak Mirza Ghiyas, broughtToIndia, Persian garden-tomb concept]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtToIndia Context triple: [Mirak Mirza Ghiyas, broughtToIndia, Persian garden-tomb concept]
-
A.
accessionToIndia
Indicates the act or process by which a territory, entity, or region formally joins or is incorporated into India.
-
B.
broughtTo
chosen
Indicates that one entity caused another entity or object to be transported or accompanied to a particular destination or recipient.
-
C.
viewsIndiaAs
Indicates perceiving or regarding India in a particular way, such as holding a specific opinion, attitude, or characterization about India.
-
D.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
E.
declaresIndiaAs
Indicates that a subject formally designates or proclaims something or someone as India.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509bff808190a86fade7ccfc3611 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.