Triple
T17348661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capsella |
E421749
|
entity |
| Predicate | includesWeed |
P67792
|
FINISHED |
| Object | shepherd’s purse |
—
|
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: shepherd’s purse | Statement: [Capsella, includesWeed, shepherd’s purse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesWeed Context triple: [Capsella, includesWeed, shepherd’s purse]
-
A.
weedStatus
chosen
Indicates whether an entity is classified or treated as a weed, typically in the context of management, control, or ecological status.
-
B.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
C.
includesHerb
Indicates that one entity contains or incorporates a herb as part of its composition or contents.
-
D.
isCBDOf
Indicates that one entity is the central business district (CBD) of another entity, typically a city or metropolitan area.
-
E.
majorFormOfTHCIn
Indicates that something is the primary or predominant form of THC present in a specified substance, product, or context.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2af5f88190b4c292ca30993b36 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.