Triple
T23635383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlborough wine region |
E583727
|
entity |
| Predicate | firstMajorPlantingsDecade |
P43501
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Marlborough wine region, firstMajorPlantingsDecade, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorPlantingsDecade Context triple: [Marlborough wine region, firstMajorPlantingsDecade, 1970s]
-
A.
plantedInCentury
Indicates that something was planted during a specified century.
-
B.
timePeriodOfMajorPlanting
chosen
Indicates the time period during which the primary or most significant planting activity takes place.
-
C.
initialDeploymentDecade
Indicates the decade during which something was first deployed or put into initial operational use.
-
D.
firstCommercialPlant
Indicates that the subject is the first commercial-scale plant or facility of its kind to be established or operated.
-
E.
foundingDecade
Indicates the decade during which an entity (such as an organization, institution, or company) was founded.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ec38f48190832d919391971ddb |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.