Triple
T7487391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pensilvania |
E176915
|
entity |
| Predicate | isInCoffeeRegion |
P13358
|
FINISHED |
| Object | Colombian coffee-growing region |
—
|
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: Colombian coffee-growing region | Statement: [Pensilvania, isInCoffeeRegion, Colombian coffee-growing region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCoffeeRegion Context triple: [Pensilvania, isInCoffeeRegion, Colombian coffee-growing region]
-
A.
coffeeSourcingRegion
chosen
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
B.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
C.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
-
D.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
E.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5582adc81908b68439762965d88 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:43 p.m.