Triple
T3524590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CME CF Ether-Dollar Reference Rate |
E74506
|
entity |
| Predicate | dataIntegrityFeature |
P5658
|
FINISHED |
| Object | methodology to exclude anomalous trades |
—
|
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: methodology to exclude anomalous trades | Statement: [CME CF Ether-Dollar Reference Rate, dataIntegrityFeature, methodology to exclude anomalous trades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataIntegrityFeature Context triple: [CME CF Ether-Dollar Reference Rate, dataIntegrityFeature, methodology to exclude anomalous trades]
-
A.
usesIntegrityCheck
chosen
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
B.
providesIntegrity
Indicates that one entity ensures the correctness, consistency, and protection from unauthorized alteration of another entity or its data.
-
C.
integrity
Indicates that an entity or relationship maintains wholeness, consistency, and freedom from corruption or unauthorized alteration.
-
D.
protectsFeature
Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
-
E.
maintenanceFeature
Indicates that one entity serves as a maintenance-related feature, capability, or component associated with another entity.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.