Triple
T8977714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muttenz |
E214435
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Gempen |
E688620
|
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: Gempen | Statement: [Muttenz, borders, Gempen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gempen Context triple: [Muttenz, borders, Gempen]
-
A.
Gempen
chosen
Gempen is a Swiss municipality in the canton of Solothurn, known for its elevated plateau and scenic views over the Basel region.
-
B.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
C.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
D.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
E.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065b8e9fc8190b1eff91f2048e771 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:02 p.m.