Triple
T22415392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langstraat region |
E554109
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Raamsdonksveer
Raamsdonksveer is a town in the Dutch province of North Brabant, known historically as a local trading and ferry settlement along the River Donge.
|
E1536211
|
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: Raamsdonksveer | Statement: [Langstraat region, hasTown, Raamsdonksveer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raamsdonksveer Context triple: [Langstraat region, hasTown, Raamsdonksveer]
-
A.
Kuipersveer
Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
-
B.
Hoevenzavel
Hoevenzavel is a residential neighborhood within the city of Genk in the Belgian province of Limburg.
-
C.
Zwanenburgwal
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
-
D.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
-
E.
Bruinisse
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
- 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: Raamsdonksveer Triple: [Langstraat region, hasTown, Raamsdonksveer]
Generated description
Raamsdonksveer is a town in the Dutch province of North Brabant, known historically as a local trading and ferry settlement along the River Donge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raamsdonksveer Target entity description: Raamsdonksveer is a town in the Dutch province of North Brabant, known historically as a local trading and ferry settlement along the River Donge.
-
A.
Kuipersveer
Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
-
B.
Hoevenzavel
Hoevenzavel is a residential neighborhood within the city of Genk in the Belgian province of Limburg.
-
C.
Zwanenburgwal
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
-
D.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
-
E.
Bruinisse
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594615f881909688b02548ee83eb |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e99ca48190ad93201035c819d6 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:46 p.m.