Triple
T16541715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Oman |
E401833
|
entity |
| Predicate | currencyCode |
P208
|
FINISHED |
| Object | OMR |
E403185
|
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: OMR | Statement: [Economy of Oman, currencyCode, OMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMR Context triple: [Economy of Oman, currencyCode, OMR]
-
A.
OMR
chosen
OMR is the official currency code used to represent the Omani rial, the national currency of Oman.
-
B.
OMR
OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
-
C.
Scantron
Scantron is an American company best known for its machine-readable testing and assessment forms and related educational technology services.
-
D.
OMTR
OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
-
E.
OMM
OMM is the post-nominal letters used to denote membership in the Canadian Order of Military Merit, an honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455db6788190b929546050ea2488 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b0e5708190a286b8a316d6efd2 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.