Triple
T7678653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glatt River |
E173929
|
entity |
| Predicate | nameInGerman |
P22792
|
FINISHED |
| Object | Glatt |
E477672
|
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: Glatt | Statement: [Glatt River, nameInGerman, Glatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glatt Context triple: [Glatt River, nameInGerman, Glatt]
-
A.
Glatt
chosen
Glatt is a river in the Canton of Zürich in Switzerland, known for flowing out of Lake Greifen and joining the Rhine near Glattfelden.
-
B.
Strentzel
Strentzel is a surname most notably associated with Louisa Wanda Strentzel, the wife of naturalist John Muir and member of a prominent California horticultural family.
-
C.
Frisch
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
D.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
E.
Frikat
Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fd18d88190888144a7d0f228d9 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a248750481908f0de08aee78c9ba |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.