Triple
T29600876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American flora section |
E754440
|
entity |
| Predicate | continentOfGardenLocation |
P180957
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [North American flora section, continentOfGardenLocation, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfGardenLocation Context triple: [North American flora section, continentOfGardenLocation, Asia]
-
A.
gardensLocation
Indicates that an entity engages in gardening activities at a specified location.
-
B.
cultivatedInContinent
Indicates that something (typically a crop or organism) is grown or cultivated within the geographic boundaries of a specified continent.
-
C.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
D.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
E.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 28, 2026, 6:21 p.m.