Triple
T18527056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEI |
E452744
|
entity |
| Predicate | outputUnit |
P31138
|
FINISHED |
| Object | standardized anomaly index |
—
|
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: standardized anomaly index | Statement: [MEI, outputUnit, standardized anomaly index]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputUnit Context triple: [MEI, outputUnit, standardized anomaly index]
-
A.
convertedUnit
chosen
Indicates that one unit is the result of converting a quantity expressed in another unit.
-
B.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
C.
baseUnitOf
Indicates that one unit serves as the fundamental reference or standard measurement unit for another derived or related unit.
-
D.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
E.
supportedUnit
Indicates that one entity provides assistance, resources, or backing to another entity functioning as a unit or sub-organization.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53392618c8190b44de46b80ee6a6d |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.