Triple
T37044584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selfoss (waterfall) |
E916871
|
entity |
| Predicate | positionRelativeToDettifoss |
P200970
|
FINISHED |
| Object | upstream |
—
|
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: upstream | Statement: [Selfoss (waterfall), positionRelativeToDettifoss, upstream]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToDettifoss Context triple: [Selfoss (waterfall), positionRelativeToDettifoss, upstream]
-
A.
positionRelativeToReykjavík
Indicates the spatial position or location of an entity in relation to the city of Reykjavík.
-
B.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
-
C.
positionRelativeToPower
Indicates the spatial or structural placement of one entity in relation to a power source, power line, or power-related infrastructure.
-
D.
positionRelativeToUranium
Indicates the spatial relationship or placement of an entity with respect to a reference point defined by uranium.
-
E.
positionRelativeToNiagaraFalls
Indicates the spatial relationship of an entity’s location with respect to Niagara Falls, such as its direction, distance, or relative placement.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
| PDg | Predicate description generation | batch_69ffbe9c7c348190b6b72455d6a3e3d8 |
completed | May 9, 2026, 11:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.