Triple
T22010873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerzelberg |
E543568
|
entity |
| Predicate | elevationRankInAntwerpProvince |
P136632
|
FINISHED |
| Object | 1 |
—
|
LITERAL 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: 1 | Statement: [Beerzelberg, elevationRankInAntwerpProvince, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRankInAntwerpProvince Context triple: [Beerzelberg, elevationRankInAntwerpProvince, 1]
-
A.
hasElevationRank
chosen
Indicates the relative ordering of an entity based on its elevation compared to others.
-
B.
positionInBelgium
Indicates that one entity occupies a specific geographic location within the territory of Belgium.
-
C.
distanceToAntwerp
Indicates the measured distance between a given entity’s location and the city of Antwerp.
-
D.
tierInBelgium
Indicates that an entity belongs to, is classified within, or operates at a specific tier or level in the context of Belgium.
-
E.
chartPositionBelgiumFlanders
Indicates the position or ranking something holds on the music charts specifically in the Flanders region of Belgium.
- F. None of above.
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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.