Triple
T21784776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lummen |
E537805
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Halen |
—
|
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: Halen | Statement: [Lummen, borderedBy, Halen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halen Context triple: [Lummen, borderedBy, Halen]
-
A.
Halen
chosen
Halen is a small municipality in the Belgian province of Limburg, known for its rural character and historical World War I battlefield sites.
-
B.
Halen
Halen is a residential locality within the municipality of Kirchlindach in the canton of Bern, Switzerland, known for its modernist housing development.
-
C.
Henllys
Henllys is a residential village and suburb forming part of the Cwmbran area in Torfaen, South Wales.
-
D.
Hafod
Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
-
E.
Talygarn
Talygarn is a village and residential area in Rhondda Cynon Taf, Wales, known for its historic estate and former rehabilitation hospital.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.