Triple
T25747357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Coast (Ghana) |
E648378
|
entity |
| Predicate | earlierColonialPresence |
P121181
|
FINISHED |
| Object | Dutch Republic |
—
|
NE NERFINISHED |
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: Dutch Republic | Statement: [Gold Coast (Ghana), earlierColonialPresence, Dutch Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierColonialPresence Context triple: [Gold Coast (Ghana), earlierColonialPresence, Dutch Republic]
-
A.
preColonialPresenceIn
Indicates that an entity existed, was active, or had a presence in a specified place during the pre-colonial period.
-
B.
previousColonialInvolvement
chosen
Indicates that one entity had a colonial role or presence in another entity at some time in the past.
-
C.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
-
D.
colonialHistoryIncludes
Indicates that one entity’s colonial history encompasses, involves, or includes the other entity as part of its colonial past.
-
E.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 3:52 a.m.