Triple
T34845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Atlantic Ridge |
E692
|
entity |
| Predicate | magneticAnomaliesShow |
P202
|
FINISHED |
| Object | symmetrical magnetic striping |
—
|
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: symmetrical magnetic striping | Statement: [Mid-Atlantic Ridge, magneticAnomaliesShow, symmetrical magnetic striping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magneticAnomaliesShow Context triple: [Mid-Atlantic Ridge, magneticAnomaliesShow, symmetrical magnetic striping]
-
A.
locatedOnTectonicBoundary
Indicates that one entity is situated directly on or along the tectonic plate boundary associated with another entity.
-
B.
demonstratedBy
chosen
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
C.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
D.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
E.
notableCamp
Indicates that an entity is a camp that is notable or significant in some recognized way (e.g., historically, culturally, or by prominence).
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a24872e4e481908567850168d65015 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.