Triple
T24309874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch whaling ship Beerenberg |
E612640
|
entity |
| Predicate | likelyOperatedNear |
P109093
|
FINISHED |
| Object | Jan Mayen |
—
|
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: Jan Mayen | Statement: [Dutch whaling ship Beerenberg, likelyOperatedNear, Jan Mayen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyOperatedNear Context triple: [Dutch whaling ship Beerenberg, likelyOperatedNear, Jan Mayen]
-
A.
operatedNear
chosen
Indicates that one entity performed an operation or activity in close physical proximity to another entity.
-
B.
operatedInNeighborhood
Indicates that an entity conducted its activities or operations within a specific neighborhood.
-
C.
occursNear
Indicates that one event or entity takes place or exists in close spatial proximity to another.
-
D.
hasFormerUseNearby
Indicates that something in the vicinity previously had a particular use or function that is no longer current.
-
E.
operatedFacilityNear
Indicates that an entity operated a facility located in close geographic proximity to another specified entity or place.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29229af3c8190950b70fe5a8dbf6f |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:33 a.m.