Triple
T2936703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Beveland |
E79285
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Heinkenszand
Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
|
E316588
|
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: Heinkenszand | Statement: [South Beveland, hasTown, Heinkenszand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinkenszand Context triple: [South Beveland, hasTown, Heinkenszand]
-
A.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
B.
Honselersdijk
Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
C.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
-
D.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
E.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
- 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: Heinkenszand Triple: [South Beveland, hasTown, Heinkenszand]
Generated description
Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heinkenszand Target entity description: Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
-
A.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
B.
Honselersdijk
Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
C.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
-
D.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
E.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983df5e08190939cd8acf8ad5b55 |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108d4e5408190a0dd3728c5cf6a47 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10ccadf608190b2032ebb51271c90 |
completed | March 11, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10d3e846481909a4342d844071040 |
completed | March 11, 2026, 6:35 a.m. |
Created at: March 8, 2026, 2:56 p.m.