Triple
T23006107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Moerdijk |
E572772
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zuidzijde Moerdijk
Zuidzijde Moerdijk is a locality within the Dutch municipality of Moerdijk in the province of North Brabant.
|
E1565006
|
NE FINISHED |
How this triple was built (4 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: Zuidzijde Moerdijk | Statement: [municipality of Moerdijk, contains, Zuidzijde Moerdijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuidzijde Moerdijk Context triple: [municipality of Moerdijk, contains, Zuidzijde Moerdijk]
-
A.
Merenwijk
Merenwijk is a residential district in the Dutch city of Leiden, known for its post-war urban planning and diverse population.
-
B.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
C.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
D.
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.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zuidzijde Moerdijk Triple: [municipality of Moerdijk, contains, Zuidzijde Moerdijk]
Generated description
Zuidzijde Moerdijk is a locality within the Dutch municipality of Moerdijk in the province of North Brabant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zuidzijde Moerdijk Target entity description: Zuidzijde Moerdijk is a locality within the Dutch municipality of Moerdijk in the province of North Brabant.
-
A.
Merenwijk
Merenwijk is a residential district in the Dutch city of Leiden, known for its post-war urban planning and diverse population.
-
B.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
C.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
D.
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.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- F. None of above. chosen
Provenance (5 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3846500819094a1bb01797d22a5 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd41c89708190a3df2a798ca25c99 |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd5263734819082ce8b1c3082243f |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:51 p.m.