Triple
T602793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choapa Valley wine region |
E11529
|
entity |
| Predicate | viticulturalChallenge |
P17894
|
FINISHED |
| Object | water scarcity |
—
|
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: water scarcity | Statement: [Choapa Valley wine region, viticulturalChallenge, water scarcity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viticulturalChallenge Context triple: [Choapa Valley wine region, viticulturalChallenge, water scarcity]
-
A.
viticulturalCharacteristic
Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
-
B.
viticultureHistory
Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
-
C.
vinification
Indicates the process by which grapes (or other fruits) are transformed into wine through fermentation and related winemaking steps.
-
D.
primaryGrapeVariety
Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
-
E.
traditionalVinification
Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49e55b2248190b0ae3d692c0fa143 |
completed | March 1, 2026, 8:15 p.m. |
Created at: March 1, 2026, 7:35 p.m.