Triple
T23131442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandœuvre-lès-Nancy |
E577177
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Lichtenfels |
—
|
NE NERFINISHED |
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: Lichtenfels | Statement: [Vandœuvre-lès-Nancy, hasTwinTown, Lichtenfels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lichtenfels Context triple: [Vandœuvre-lès-Nancy, hasTwinTown, Lichtenfels]
-
A.
Lichtenfels
chosen
Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
-
B.
Lichtenfels
Lichtenfels is a small town in the Waldeck-Frankenberg district of northern Hesse, Germany, known for its rural setting and proximity to the Edersee and Kellerwald-Edersee National Park.
-
C.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Altenstadt
Altenstadt is a small Bavarian municipality in southern Germany, situated within the rural district of Weilheim-Schongau.
-
E.
Altenstadt
Altenstadt is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.