Triple
T26943943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Lars |
E678587
|
entity |
| Predicate | farmingLocation |
P91024
|
FINISHED |
| Object | Jundland Wastes region of Tatooine |
—
|
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: Jundland Wastes region of Tatooine | Statement: [Owen Lars, farmingLocation, Jundland Wastes region of Tatooine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: farmingLocation Context triple: [Owen Lars, farmingLocation, Jundland Wastes region of Tatooine]
-
A.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
B.
breedingFarmLocation
Indicates the place where breeding activities or a breeding farm for the related entity is located.
-
C.
cultivationLocation
chosen
Indicates the place or environment where something is grown, raised, or cultivated.
-
D.
farmingCharacteristics
Indicates the specific methods, practices, or attributes that characterize how farming is conducted in relation to an entity.
-
E.
plantLocation
Indicates the location where a plant is situated, grown, or found.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62082e298819088389b3bb529fb60 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:20 a.m.