Triple
T13684212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunschoten |
E328079
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Eemdijk
Eemdijk is a small village in the Dutch province of Utrecht, situated along the River Eem and administratively part of the municipality of Bunschoten.
|
E1057961
|
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: Eemdijk | Statement: [Bunschoten, hasPart, Eemdijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eemdijk Context triple: [Bunschoten, hasPart, Eemdijk]
-
A.
Geersdijk
Geersdijk is a small village located on the island of North Beveland in the Dutch province of Zeeland.
-
B.
Heinkenszand
Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
-
C.
Maartensdijk
Maartensdijk is a village in the Dutch province of Utrecht that forms part of the municipality of De Bilt.
-
D.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
E.
Hazerswoude-Rijndijk
Hazerswoude-Rijndijk is a village in the Dutch province of South Holland, located in the municipality of Alphen aan den Rijn.
- 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: Eemdijk Triple: [Bunschoten, hasPart, Eemdijk]
Generated description
Eemdijk is a small village in the Dutch province of Utrecht, situated along the River Eem and administratively part of the municipality of Bunschoten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eemdijk Target entity description: Eemdijk is a small village in the Dutch province of Utrecht, situated along the River Eem and administratively part of the municipality of Bunschoten.
-
A.
Geersdijk
Geersdijk is a small village located on the island of North Beveland in the Dutch province of Zeeland.
-
B.
Heinkenszand
Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
-
C.
Maartensdijk
Maartensdijk is a village in the Dutch province of Utrecht that forms part of the municipality of De Bilt.
-
D.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
E.
Hazerswoude-Rijndijk
Hazerswoude-Rijndijk is a village in the Dutch province of South Holland, located in the municipality of Alphen aan den Rijn.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66f8acc8190b2a82b722930b995 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4a4a50819098bd4348eba19ee7 |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f7a15f3c908190be380355972def6e |
completed | May 3, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 9, 2026, 9:53 p.m.