Triple
T27250988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Kongo |
E687483
|
entity |
| Predicate | missionaryActivityFrom |
P163095
|
FINISHED |
| Object | Portugal |
—
|
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: Portugal | Statement: [Kingdom of Kongo, missionaryActivityFrom, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionaryActivityFrom Context triple: [Kingdom of Kongo, missionaryActivityFrom, Portugal]
-
A.
missionaryOrganization
Indicates that an entity is a religious or faith-based organization dedicated to missionary work or activities.
-
B.
sentAsMissionaryBy
Indicates that one entity is formally commissioned and dispatched by another entity to serve as a missionary.
-
C.
placeOfEvangelisticActivity
Indicates the location where evangelistic or missionary activities are carried out.
-
D.
missionSociety
Indicates a relationship where an organization or entity is dedicated to carrying out a specific mission or purpose on behalf of a society or community.
-
E.
missionizationAt
Indicates the location or context in which a missionizing or religious conversion effort takes place.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 10:45 a.m.