Triple
T3343344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QAR |
E70310
|
entity |
| Predicate | minorUnitPerMajorUnit |
P32237
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [QAR, minorUnitPerMajorUnit, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minorUnitPerMajorUnit Context triple: [QAR, minorUnitPerMajorUnit, 100]
-
A.
minorUnitsPerUnit
chosen
Indicates the number of smaller sub-units that collectively make up one whole unit in a given measurement or currency system.
-
B.
minorUnitExponent
Indicates the power-of-ten exponent that defines how a minor unit relates in scale to its corresponding major unit.
-
C.
minorUnitToMajor
Indicates a conversion relationship where a quantity expressed in a smaller (minor) unit is translated into its corresponding amount in a larger (major) unit.
-
D.
minorUnitSubdivisions
Indicates that one administrative or organizational unit is subdivided into smaller, subordinate units.
-
E.
minorUnitName
Indicates the name assigned to a smaller or subordinate unit within a larger structured entity or system.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.