Triple
T5993839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halderberge |
E133417
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Drimmelen |
E137305
|
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: Drimmelen | Statement: [Halderberge, borders, Drimmelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drimmelen Context triple: [Halderberge, borders, Drimmelen]
-
A.
Drimmelen
chosen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
-
B.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
C.
Merode
Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
-
D.
Dendermonde
Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
-
E.
Overpelt
Overpelt is a town in the Belgian province of Limburg, known for its green surroundings and local waterways.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e92e1448190bbf961a8243082ee |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.