Triple
T4307667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajika |
E93994
|
entity |
| Predicate | hasTypicalHerb |
P41593
|
FINISHED |
| Object | coriander |
—
|
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: coriander | Statement: [Ajika, hasTypicalHerb, coriander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalHerb Context triple: [Ajika, hasTypicalHerb, coriander]
-
A.
includesHerb
chosen
Indicates that one entity contains or incorporates a herb as part of its composition or contents.
-
B.
hasHerbarium
Indicates that an entity possesses, is associated with, or maintains a herbarium collection.
-
C.
hasPlantSymbol
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
D.
hasHerbariumCode
Indicates that an institution or collection is associated with a specific standardized herbarium code used to identify it.
-
E.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d2af088190ad7cb035d6e0f8c2 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.