Triple
T18710818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakken |
E457506
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Waregem |
—
|
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: Waregem | Statement: [Wakken, locatedNear, Waregem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waregem Context triple: [Wakken, locatedNear, Waregem]
-
A.
Waregem
chosen
Waregem is a city in the Belgian province of West Flanders, known for its historical World War I sites and equestrian traditions.
-
B.
Roermond
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
-
C.
Venray
Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
-
D.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
E.
Torhout
Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671b34508190b6180f7d6ad50a58 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.