Triple
T21485816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom import regime for colonial goods |
E530112
|
entity |
| Predicate | disfavoured |
P144545
|
FINISHED |
| Object | manufactured goods from colonies |
—
|
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: manufactured goods from colonies | Statement: [United Kingdom import regime for colonial goods, disfavoured, manufactured goods from colonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disfavoured Context triple: [United Kingdom import regime for colonial goods, disfavoured, manufactured goods from colonies]
-
A.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
C.
disadvantage
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
D.
favored
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
E.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea370adc8190b79fe26e2eba1dca |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:21 p.m.