Triple
T35006440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makó onion |
E1009821
|
entity |
| Predicate | cultivatedAround |
P181986
|
FINISHED |
| Object | Makó |
—
|
NE NERFINISHED |
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: Makó | Statement: [Makó onion, cultivatedAround, Makó]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivatedAround Context triple: [Makó onion, cultivatedAround, Makó]
-
A.
cultivatedAlong
Indicates that one entity is grown or farmed in proximity to or in parallel with another entity, typically within the same area or setting.
-
B.
cultivatedThrough
Indicates that something is developed, improved, or brought into existence by means of a specified method, practice, or process.
-
C.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
D.
cultivatedOutdoors
Indicates that something is grown or produced outside in natural or open-air conditions rather than indoors or in controlled environments.
-
E.
cultivatedSince
Indicates that one entity has been intentionally grown, farmed, or maintained by another entity starting from a specified point in time.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.