Triple
T22010983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heist-op-den-Berg |
E543570
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Berlaar |
—
|
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: Berlaar | Statement: [Heist-op-den-Berg, hasNeighboringMunicipality, Berlaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlaar Context triple: [Heist-op-den-Berg, hasNeighboringMunicipality, Berlaar]
-
A.
Berlaar
chosen
Berlaar is a municipality in the Belgian province of Antwerp, known for its rural character and location along the Nete River.
-
B.
Baraolt
Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
-
C.
Blerick
Blerick is a district of the Dutch city of Venlo in the province of Limburg, located on the west bank of the river Meuse.
-
D.
Milbrett
Milbrett is the surname of Tiffeny Milbrett, a prominent American former professional soccer forward and Olympic gold medalist.
-
E.
Braling
Braling is a dissatisfied husband and central figure in Ray Bradbury’s short story “Marionettes, Inc.” who secretly uses a lifelike robot double to escape his marriage.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.