Triple
T12848908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Hansemuseum |
E307257
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Trave River |
E1066361
|
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: Trave River | Statement: [European Hansemuseum, adjacentTo, Trave River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trave River Context triple: [European Hansemuseum, adjacentTo, Trave River]
-
A.
Trave River
chosen
The Trave River is a waterway in northern Germany that flows through the city of Lübeck before emptying into the Baltic Sea.
-
B.
Vire River
The Vire River is a waterway in northwestern France that flows through Normandy to the English Channel, historically important for regional agriculture and industry.
-
C.
Tresa River
The Tresa River is a short transboundary river in southern Switzerland and northern Italy that drains Lake Lugano and flows into Lake Maggiore.
-
D.
Neches River
The Neches River is a major waterway in eastern Texas that flows from near Tyler to the Gulf of Mexico, supporting regional ecosystems, industry, and recreation.
-
E.
Branch River
Branch River is a river in Rhode Island that flows through communities such as Forestdale and contributes to the region’s local watershed and landscape.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9701fe684819084582d1b4c809429 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3237ccf88190974ff1a49c3a874b |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 5:36 p.m.