Triple
T12576517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupen |
E300219
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Eupen Dam |
E660125
|
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: Eupen Dam | Statement: [Eupen, hasDam, Eupen Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eupen Dam Context triple: [Eupen, hasDam, Eupen Dam]
-
A.
Eupen Dam
chosen
Eupen Dam is a major gravity dam in eastern Belgium that creates the Eupen Reservoir on the Vesdre River, providing drinking water supply and flood control for the surrounding region.
-
B.
Diemel Dam
Diemel Dam is a German reservoir dam that was one of the targets attacked during the World War II Dambusters Raid.
-
C.
Bütgenbach Dam
Bütgenbach Dam is a hydroelectric and flood-control structure in eastern Belgium that creates Lake Bütgenbach, a popular site for recreation and water sports.
-
D.
Grevelingendam
Grevelingendam is a major dam in the southwestern Netherlands that forms part of the Delta Works, protecting the Rhine–Meuse–Scheldt delta from flooding while separating the Grevelingenmeer from the North Sea.
-
E.
Damme
Damme is a town and municipality in the District of Vechta in Lower Saxony, Germany, known for its rural character and regional cultural traditions.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65597dc70819089ddc1794e9bd1b7 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 4:47 p.m.