Triple
T12576502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupen |
E300219
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | High Fens |
E263273
|
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: High Fens | Statement: [Eupen, locatedNear, High Fens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Fens Context triple: [Eupen, locatedNear, High Fens]
-
A.
High Fens
chosen
High Fens is a high-altitude moorland and nature reserve region in eastern Belgium and western Germany, known for its unique peat bog landscapes and biodiversity.
-
B.
Norfolk Fens
The Norfolk Fens are a low-lying, marshy agricultural landscape in eastern England, characterized by extensive drainage systems and fertile peat soils.
-
C.
Jutland heathlands
Jutland heathlands are expansive, windswept heath ecosystems of western Denmark characterized by open moorland, sandy soils, and hardy vegetation shaped by a cool, maritime climate.
-
D.
Ginkelse Heide
Ginkelse Heide is a heathland area in the Netherlands known for its natural landscapes and as a historic World War II airborne landing site.
-
E.
Fens
The Fens is a low-lying, historically marshy region of eastern England known for its extensive drainage, rich agricultural land, and distinctive rural 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_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.