Triple
T6440133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Smith (British mariner) |
E138195
|
entity |
| Predicate | fieldOfExploration |
P60100
|
FINISHED |
| Object | polar exploration |
—
|
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: polar exploration | Statement: [William Smith (British mariner), fieldOfExploration, polar exploration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfExploration Context triple: [William Smith (British mariner), fieldOfExploration, polar exploration]
-
A.
explorationSubject
Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
-
B.
majorExplorationIn
chosen
Indicates that an entity’s primary field of exploration, investigation, or study is within a specified domain or area.
-
C.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
D.
dimensionOfStudy
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
E.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06967241c8190965bac395adf2d03 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.