Triple
T14509361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أوقية موريتانية |
E340354
|
entity |
| Predicate | revaluationYear |
P114510
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [أوقية موريتانية, revaluationYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revaluationYear Context triple: [أوقية موريتانية, revaluationYear, 2018]
-
A.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
B.
reclassificationYear
Indicates the year in which something was reassigned to a different category, status, or classification.
-
C.
revaluationRatio
Indicates the proportional change in value between two states or times, typically expressing how much something has been revalued relative to its previous value.
-
D.
redefinitionYear
Indicates the year in which something was redefined, such as when its definition, scope, or formal status was officially changed.
-
E.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.