Triple
T9093922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baselland |
E217964
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Ergolz |
E145800
|
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: Ergolz | Statement: [Baselland, hasRiver, Ergolz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ergolz Context triple: [Baselland, hasRiver, Ergolz]
-
A.
Ergolz
chosen
Ergolz is a river in the Swiss canton of Basel-Landschaft that flows through the Jura region before joining the Rhine.
-
B.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
C.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
D.
Braucol
Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
-
E.
Asten
Asten is a municipality in the Dutch province of North Brabant, known for its proximity to the De Groote Peel National Park and its rural, nature-rich surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01803b0288190a86b544892d4b6ed |
completed | April 3, 2026, 7:41 p.m. |
Created at: March 30, 2026, 7:14 p.m.