Triple
T5251681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Indies |
E118602
|
entity |
| Predicate | majorProducts |
P7216
|
FINISHED |
| Object | spices |
—
|
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: spices | Statement: [East Indies, majorProducts, spices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorProducts Context triple: [East Indies, majorProducts, spices]
-
A.
primaryProduct
chosen
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
B.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
C.
laterProductType
Indicates that one product type occurs or is introduced after another product type in time or sequence.
-
D.
productMix
Indicates the combination and relative proportions of different products or product types offered or involved in a given context.
-
E.
originalProducts
Indicates that one entity consists of or is derived from the initial or source products associated with another entity.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7b840881908bb1ecb8a0047382 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.