Triple
T18763795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya Kiran |
E458841
|
entity |
| Predicate | nationalColours |
P133445
|
FINISHED |
| Object | saffron |
—
|
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: saffron | Statement: [Surya Kiran, nationalColours, saffron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalColours Context triple: [Surya Kiran, nationalColours, saffron]
-
A.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
B.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
-
C.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
D.
stateColours
Indicates that specific colours are officially associated with or designated for a particular state.
-
E.
countyColours
Indicates that a specific color or set of colors is associated with, represents, or is used to depict a particular county.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.