Triple
T8549499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mullaippāṭṭu |
E202409
|
entity |
| Predicate | associatedFlora |
P83264
|
FINISHED |
| Object | mullai flower |
—
|
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: mullai flower | Statement: [Mullaippāṭṭu, associatedFlora, mullai flower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFlora Context triple: [Mullaippāṭṭu, associatedFlora, mullai flower]
-
A.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
B.
famousPlants
Indicates that the plants in question are widely known or celebrated, typically for their distinctive characteristics, history, or cultural significance.
-
C.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
D.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
-
E.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:19 p.m.