Triple
T7750206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranzazu |
E175737
|
entity |
| Predicate | isInCoffeeGrowingRegion |
P24310
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Aranzazu, isInCoffeeGrowingRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCoffeeGrowingRegion Context triple: [Aranzazu, isInCoffeeGrowingRegion, true]
-
A.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
B.
coffeeSourcingRegion
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
C.
locatedInAgriculturalRegion
chosen
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
D.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
-
E.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.