Triple
T15671499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afsluitdijk |
E377321
|
entity |
| Predicate | hasTypeOfWaterOnOtherSide |
P119699
|
FINISHED |
| Object | saltwater sea |
—
|
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: saltwater sea | Statement: [Afsluitdijk, hasTypeOfWaterOnOtherSide, saltwater sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfWaterOnOtherSide Context triple: [Afsluitdijk, hasTypeOfWaterOnOtherSide, saltwater sea]
-
A.
bodyOfWaterOnOtherSide
Indicates that one entity is located across a body of water from the other entity, with the water lying between them.
-
B.
acrossWaterFrom
Indicates that two entities are located on opposite sides of a body of water, separated by that water.
-
C.
drainageBasinOnOtherSide
Indicates that the drainage basin associated with one entity lies on the opposite side of a dividing feature (such as a watershed or boundary) from the drainage basin associated with another entity.
-
D.
hasCoastOnOtherSide
Indicates that one geographic entity has a coastline located on the opposite side of another referenced geographic feature or boundary.
-
E.
hasWaterBorderWith
Indicates that two entities share a common boundary that runs along or across a body of water, such as a river, lake, or sea.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f13b1b08190beabc9f4098aa096 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.