Triple
T7658303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HR 1084 |
E173439
|
entity |
| Predicate | magneticActivity |
P78602
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [HR 1084, magneticActivity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magneticActivity Context triple: [HR 1084, magneticActivity, high]
-
A.
magneticActivityCycle
Indicates a recurring pattern or period in which an object’s magnetic activity (such as field strength or related phenomena) systematically increases and decreases over time.
-
B.
magneticInteraction
Indicates a relationship in which entities exert forces or influences on each other due to their magnetic fields or magnetic properties.
-
C.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
D.
magneticFieldCharacteristic
Indicates a relationship where a magnetic field is associated with or exhibits a specific characteristic or property.
-
E.
magneticFieldStrength
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7061b218c81909fff789ba4c10e58 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 3:59 p.m.