Triple
T12055376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Toggenburg |
E287026
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Thur |
E516403
|
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: Thur | Statement: [district of Toggenburg, river, Thur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thur Context triple: [district of Toggenburg, river, Thur]
-
A.
Thur
chosen
The Thur is a river in northeastern Switzerland that flows through the cantons of St. Gallen, Thurgau, and Zurich before joining the Rhine.
-
B.
Thursday
"Thursday" is a 2011 R&B/alternative mixtape by The Weeknd that helped establish his dark, atmospheric sound and critical acclaim early in his career.
-
C.
Çarşamba
Çarşamba is a town and district in Turkey’s Black Sea region, known for its agricultural economy and proximity to the provincial capital Samsun.
-
D.
Dyushambe
Dyushambe is the former name of Dushanbe, the capital and largest city of Tajikistan.
-
E.
Wednesday
"Wednesday" is a Netflix supernatural comedy-horror series centered on Wednesday Addams as she navigates life at a peculiar boarding school while investigating dark mysteries.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.