Triple
T4283886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molenlanden |
E97218
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Oud-Alblas
Oud-Alblas is a village in the Dutch province of South Holland, known for its rural character and location within the Alblasserwaard polder landscape.
|
E649770
|
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: Oud-Alblas | Statement: [Molenlanden, hasSettlement, Oud-Alblas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oud-Alblas Context triple: [Molenlanden, hasSettlement, Oud-Alblas]
-
A.
Oudelande
Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
-
B.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
E.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
- 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: Oud-Alblas Triple: [Molenlanden, hasSettlement, Oud-Alblas]
Generated description
Oud-Alblas is a village in the Dutch province of South Holland, known for its rural character and location within the Alblasserwaard polder landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oud-Alblas Target entity description: Oud-Alblas is a village in the Dutch province of South Holland, known for its rural character and location within the Alblasserwaard polder landscape.
-
A.
Oudelande
Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
-
B.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
E.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503c062c81908f9a9eeab5381ec9 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cb9f421081908b9df22decae8923 |
completed | March 28, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69c7ccafd63c81908e5eab61ed615180 |
completed | March 28, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd9966e481909eb3c23bb59777d9 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 12, 2026, 11:07 p.m.