Triple
T9439383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuenen |
E227601
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Nederwetten
Nederwetten is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the town of Nuenen.
|
E799375
|
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: Nederwetten | Statement: [Nuenen, hasNearbySettlement, Nederwetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nederwetten Context triple: [Nuenen, hasNearbySettlement, Nederwetten]
-
A.
Achtmaal
Achtmaal is a small village in the municipality of Zundert in the Dutch province of North Brabant.
-
B.
Neerwinden
Neerwinden is a village in present-day Belgium known primarily as the site of two major 18th-century battles during the War of the Austrian Succession and the French Revolutionary Wars.
-
C.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
D.
Zevenaar
Zevenaar is a town and municipality in the eastern Netherlands, near the German border in the province of Gelderland.
-
E.
Großer Bettelwurf
Großer Bettelwurf is a prominent mountain peak in the Karwendel range of the Austrian Alps, known for its steep limestone faces and popular alpine climbing routes.
- 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: Nederwetten Triple: [Nuenen, hasNearbySettlement, Nederwetten]
Generated description
Nederwetten is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the town of Nuenen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nederwetten Target entity description: Nederwetten is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the town of Nuenen.
-
A.
Achtmaal
Achtmaal is a small village in the municipality of Zundert in the Dutch province of North Brabant.
-
B.
Neerwinden
Neerwinden is a village in present-day Belgium known primarily as the site of two major 18th-century battles during the War of the Austrian Succession and the French Revolutionary Wars.
-
C.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
D.
Zevenaar
Zevenaar is a town and municipality in the eastern Netherlands, near the German border in the province of Gelderland.
-
E.
Großer Bettelwurf
Großer Bettelwurf is a prominent mountain peak in the Karwendel range of the Austrian Alps, known for its steep limestone faces and popular alpine climbing routes.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee1c8c48190a2ae8673eee07e9a |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105909248190b3e02a1aa5f06b11 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d111113c5c81909ff654734b211753 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111ab40a48190bb77c1cf80ef87a8 |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:50 p.m.