Triple
T7253111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetic South Pole |
E157652
|
entity |
| Predicate | isCrucialFor |
P23903
|
FINISHED |
| Object | compass navigation |
—
|
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: compass navigation | Statement: [Magnetic South Pole, isCrucialFor, compass navigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCrucialFor Context triple: [Magnetic South Pole, isCrucialFor, compass navigation]
-
A.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
B.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
C.
importantSaint
Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
-
D.
isOneOfMostImportantSeesIn
Indicates that something is regarded as one of the most significant or noteworthy sights or views within a particular place or context.
-
E.
decisiveFor
chosen
Indicates that one entity plays a determining or conclusive role in bringing about a particular outcome, decision, or state of 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9d41908190bb76c6a5b9d5b1a2 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.