Triple
T30844544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helianthus tuberosus |
E785598
|
entity |
| Predicate | tuberUse |
P171101
|
FINISHED |
| Object | human food |
—
|
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: human food | Statement: [Helianthus tuberosus, tuberUse, human food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuberUse Context triple: [Helianthus tuberosus, tuberUse, human food]
-
A.
hasTube
Indicates that one entity possesses, includes, or is equipped with a tube as a component or feature.
-
B.
campaignStreamersAttachedTo
Indicates that specific streamers are associated with or assigned to a particular campaign.
-
C.
steamUse
Indicates the use or application of steam by one entity upon or for another entity or process.
-
D.
usesMusicVideo
Indicates that one entity incorporates or features another entity as a music video.
-
E.
tunnelUse
Indicates that one entity makes use of or passes through a tunnel associated with another entity.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 29, 2026, 8:46 p.m.