Triple
T14521748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شلن صومالي |
E340667
|
entity |
| Predicate | تاريخيّاً |
P43343
|
FINISHED |
| Object | استُخدم_بعد_الاستقلال_عن_إيطاليا_وبريطانيا |
—
|
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: استُخدم_بعد_الاستقلال_عن_إيطاليا_وبريطانيا | Statement: [شلن صومالي, تاريخيّاً, استُخدم_بعد_الاستقلال_عن_إيطاليا_وبريطانيا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخيّاً Context triple: [شلن صومالي, تاريخيّاً, استُخدم_بعد_الاستقلال_عن_إيطاليا_وبريطانيا]
-
A.
historical
chosen
Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
-
B.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
-
C.
historicFor
Indicates that something holds historical significance or importance specifically in relation to another entity.
-
D.
historicallyEncompassed
Indicates that one entity previously included, covered, or contained another entity within its scope, extent, or boundaries during a past historical period.
-
E.
historicallyConsidered
Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.