Triple
T25859142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Geomagnetic Reference Field |
E651434
|
entity |
| Predicate | doesNotModel |
P159832
|
FINISHED |
| Object | small-scale crustal magnetic anomalies |
—
|
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: small-scale crustal magnetic anomalies | Statement: [International Geomagnetic Reference Field, doesNotModel, small-scale crustal magnetic anomalies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotModel Context triple: [International Geomagnetic Reference Field, doesNotModel, small-scale crustal magnetic anomalies]
-
A.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
notUsedOnModel
Indicates that a particular item, component, or feature is not applied, installed, or utilized on the specified model.
-
D.
doesNotDefine
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
E.
doesNotTreat
Indicates that one entity refrains from or fails to provide treatment or care to another entity.
- F. None of above. chosen
Provenance (4 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026a80208190a8b1fae20d6ed906 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 8:04 a.m.