Triple
T14236892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ross Strait |
E352904
|
entity |
| Predicate | traversedIn |
P36970
|
FINISHED |
| Object | 1903–1906 |
—
|
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: 1903–1906 | Statement: [James Ross Strait, traversedIn, 1903–1906]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traversedIn Context triple: [James Ross Strait, traversedIn, 1903–1906]
-
A.
alsoTraverses
Indicates that a route, path, or entity passes through or crosses an additional location or segment beyond its primary traversal.
-
B.
navigatedIn
chosen
Indicates that an entity moved or steered through or within a particular medium, environment, or space.
-
C.
formerTraversal
Indicates that one entity previously traversed, passed through, or traveled along another entity, but is no longer doing so.
-
D.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
E.
visitedFor
Indicates that one entity traveled to or attended another entity (such as a place, person, or event) for a specific purpose or reason.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.