Triple
T11928820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tregothnan |
E283856
|
entity |
| Predicate | teaPlantationEstablished |
P78538
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Tregothnan, teaPlantationEstablished, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teaPlantationEstablished Context triple: [Tregothnan, teaPlantationEstablished, 1990s]
-
A.
containsPlantation
Indicates that one entity includes or encompasses a plantation within its area, boundaries, or contents.
-
B.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
C.
teaEstateOperator
Indicates that an entity operates, manages, or runs a tea estate or tea plantation.
-
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.
cultivatedSince
chosen
Indicates that one entity has been intentionally grown, farmed, or maintained by another entity starting from a specified point in time.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.