Triple
T27305607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolaes Witsen |
E689045
|
entity |
| Predicate | continentStudied |
P170645
|
FINISHED |
| Object | Asia |
—
|
NE NERFINISHED |
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: Asia | Statement: [Nicolaes Witsen, continentStudied, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentStudied Context triple: [Nicolaes Witsen, continentStudied, Asia]
-
A.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
B.
continentFound
Indicates that a specified continent is the location where a particular entity is found or occurs.
-
C.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
-
D.
continentInvolved
Indicates that a particular continent participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
E.
continentOfSubject
Indicates that the object is the continent on which the subject is located or to which the subject belongs.
- F. None of above. chosen
Provenance (4 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 11:24 a.m.