Triple
T27121060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenen |
E686995
|
entity |
| Predicate | waterBodyTypeMet |
P1011
|
FINISHED |
| Object | North Sea via Skagerrak |
E28566
|
NE 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: North Sea via Skagerrak | Statement: [Grenen, waterBodyTypeMet, North Sea via Skagerrak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyTypeMet Context triple: [Grenen, waterBodyTypeMet, North Sea via Skagerrak]
-
A.
waterbodyType
chosen
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
B.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
C.
waterbodyID
Indicates a unique identifier that links an entity to a specific body of water.
-
D.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
E.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
- F. None of above.
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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a124817726c8190bea17e2dccc2bd7c |
completed | May 24, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 8:59 a.m.