Triple
T14186647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binnenmaas |
E351594
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kuipersveer
Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
|
E1086287
|
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: Kuipersveer | Statement: [Binnenmaas, hasPart, Kuipersveer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuipersveer Context triple: [Binnenmaas, hasPart, Kuipersveer]
-
A.
Hoevenzavel
Hoevenzavel is a residential neighborhood within the city of Genk in the Belgian province of Limburg.
-
B.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
-
C.
Zwanenburgwal
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
-
D.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
E.
Zwartsluis
Zwartsluis is a small Dutch town in the province of Overijssel, known for its waterways, historic harbor, and role as a regional boating and water sports hub.
- 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: Kuipersveer Triple: [Binnenmaas, hasPart, Kuipersveer]
Generated description
Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuipersveer Target entity description: Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
-
A.
Hoevenzavel
Hoevenzavel is a residential neighborhood within the city of Genk in the Belgian province of Limburg.
-
B.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
-
C.
Zwanenburgwal
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
-
D.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
E.
Zwartsluis
Zwartsluis is a small Dutch town in the province of Overijssel, known for its waterways, historic harbor, and role as a regional boating and water sports hub.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:03 a.m.