Triple
T15083010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moerdijk |
E360196
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Moerdijk village |
E360196
|
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: Moerdijk village | Statement: [Moerdijk, containsSettlement, Moerdijk village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moerdijk village Context triple: [Moerdijk, containsSettlement, Moerdijk village]
-
A.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
-
B.
Moosseedorf
Moosseedorf is a municipality in the canton of Bern in Switzerland, known for its proximity to the city of Bern and the nearby Moossee lake.
-
C.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
D.
Moerdijk
chosen
Moerdijk is a municipality and industrial port area in the southern Netherlands, known for its large logistics and chemical industry complexes.
-
E.
Nijverdal
Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e188448190b855ace5ab390646 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:03 a.m.