Triple
T14810391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatari riyal |
E348162
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | QAR |
E70310
|
NE 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: QAR | Statement: [Qatari riyal, ISO4217Code, QAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QAR Context triple: [Qatari riyal, ISO4217Code, QAR]
-
A.
QAR
chosen
QAR is the Qatari riyal, the official national currency used in the State of Qatar.
-
B.
QARANC
QARANC is the abbreviation for Queen Alexandra's Royal Army Nursing Corps, the nursing branch of the British Army that provides professional medical and nursing care to military personnel.
-
C.
Al-Qari
Al-Qari is an Islamic scholar best known for compiling a notable collection of forty hadiths (Arbaʿin).
-
D.
al-Qarafa
al-Qarafa is a vast historic necropolis in Cairo that functions both as a cemetery and a residential district for thousands of inhabitants.
-
E.
Qurayyat
Qurayyat is a city in northern Saudi Arabia near the Jordanian border, known as a key transit and trade hub in the Al Jawf region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ca88748190ae9e66bac5324e25 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:46 a.m.