Triple
T3254718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilwa Kisiwani |
E68268
|
entity |
| Predicate | flourishedAs |
P46886
|
FINISHED |
| Object | trading hub |
—
|
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: trading hub | Statement: [Kilwa Kisiwani, flourishedAs, trading hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flourishedAs Context triple: [Kilwa Kisiwani, flourishedAs, trading hub]
-
A.
flourishedAmong
Indicates that an entity thrived, prospered, or reached a peak of development within a particular group, environment, or context.
-
B.
flourishedUnder
Indicates that one entity prospered, developed, or reached a peak of success under the influence, rule, guidance, or conditions provided by another entity.
-
C.
flourishedDuring
Indicates that an entity was active, thriving, or at its peak during a specified time period or era.
-
D.
flourishedIn
Indicates that an entity experienced its peak activity, success, or prominence during a specified time period or era.
-
E.
flourishedAfter
Indicates that one entity reached its peak or period of prosperity subsequent to the flourishing or peak period of another entity.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf65c9388190a0d74d6365ce631e |
completed | March 8, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.