Triple
T6276896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Sierra Leone |
E140682
|
entity |
| Predicate | adoptedBefore |
P6513
|
FINISHED |
| Object | independence of Sierra Leone |
—
|
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: independence of Sierra Leone | Statement: [coat of arms of Sierra Leone, adoptedBefore, independence of Sierra Leone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedBefore Context triple: [coat of arms of Sierra Leone, adoptedBefore, independence of Sierra Leone]
-
A.
adoptedAfter
chosen
Indicates that one entity was adopted at a later time than another entity.
-
B.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
C.
adoptedAt
Indicates the time or date at which an adoption event took place.
-
D.
adoptedWith
Indicates that two or more entities were adopted at the same time or as part of the same adoption event or process.
-
E.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.