Triple
T6887425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grave |
E158956
|
entity |
| Predicate | connectedByBridgeTo |
P845
|
FINISHED |
| Object |
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, known for its rural character and location near the Maas River.
|
E627915
|
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: Nederasselt | Statement: [Grave, connectedByBridgeTo, Nederasselt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nederasselt Context triple: [Grave, connectedByBridgeTo, Nederasselt]
-
A.
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
-
B.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
C.
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.
-
D.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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: Nederasselt Triple: [Grave, connectedByBridgeTo, Nederasselt]
Generated description
Nederasselt is a village in the Dutch province of Gelderland, known for its rural character and location near the Maas River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nederasselt Target entity description: Nederasselt is a village in the Dutch province of Gelderland, known for its rural character and location near the Maas River.
-
A.
Nederasselt
chosen
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
-
B.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
C.
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.
-
D.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- F. None of above.
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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9765b3c5081908c3114271b5d3e15 |
completed | March 29, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69c977c497ac8190a6689565d7104afd |
completed | March 29, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c977f2d7248190814fa90eab881688 |
completed | March 29, 2026, 7:05 p.m. |
Created at: March 27, 2026, 2:23 p.m.