Triple
T7474616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Constance |
E176598
|
entity |
| Predicate | bordersCity |
P224
|
FINISHED |
| Object | Lindau |
E156177
|
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: Lindau | Statement: [Lake Constance, bordersCity, Lindau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindau Context triple: [Lake Constance, bordersCity, Lindau]
-
A.
Lindau
chosen
Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
-
B.
Friedrichshafen
Friedrichshafen is a city on the northern shore of Lake Constance in southern Germany, known for its aviation and engineering industries and as a historic center of airship and aircraft production.
-
C.
Plochingen
Plochingen is a town in the German state of Baden-Württemberg, known for its location at the confluence of the Fils and Neckar rivers and its distinctive Hundertwasser-designed residential complex.
-
D.
Donaueschingen
Donaueschingen is a town in southwestern Germany, in the Black Forest region of Baden-Württemberg, known as one of the sources of the Danube River.
-
E.
Bad Karlshafen
Bad Karlshafen is a small spa town in northern Hesse, Germany, known for its baroque architecture and location at the confluence of the Weser and Diemel rivers.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c655fcc8190a23d8dd69a70431c |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:41 p.m.