Triple
T31803826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolga dates |
E811814
|
entity |
| Predicate | grownOn |
P23047
|
FINISHED |
| Object | date palm trees |
—
|
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: date palm trees | Statement: [Tolga dates, grownOn, date palm trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grownOn Context triple: [Tolga dates, grownOn, date palm trees]
-
A.
growsOn
chosen
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
B.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
C.
exclusivelyGrownIn
Indicates that something is cultivated or produced only within a specific geographic area or location and nowhere else.
-
D.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
E.
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.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:42 p.m.