Triple
T14426535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjarni Herjólfsson |
E357711
|
entity |
| Predicate | didNotLandOn |
P52622
|
FINISHED |
| Object | North American mainland |
—
|
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: North American mainland | Statement: [Bjarni Herjólfsson, didNotLandOn, North American mainland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotLandOn Context triple: [Bjarni Herjólfsson, didNotLandOn, North American mainland]
-
A.
didNotHold
Indicates that an expected event, condition, or relationship failed to occur or be valid.
-
B.
didNotBecome
Indicates that an expected or potential change of state, role, or condition between entities did not occur.
-
C.
typeOfLanding
Indicates the specific kind or category of landing that occurs in a given event or situation.
-
D.
notLocatedAt
chosen
Indicates that an entity is explicitly not situated, present, or found at a specified location.
-
E.
notFlownBy
Indicates that a particular aircraft, flight, or aerial vehicle is explicitly not operated, controlled, or piloted by a specified agent or pilot.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de911398f08190be85bc0a8bef6b1b |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.