Triple
T15083008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moerdijk |
E360196
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Langeweg
Langeweg is a small village in the Dutch province of North Brabant, located within the municipality of Moerdijk.
|
E1137039
|
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: Langeweg | Statement: [Moerdijk, containsSettlement, Langeweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langeweg Context triple: [Moerdijk, containsSettlement, Langeweg]
-
A.
Lingewaard
Lingewaard is a municipality in the Dutch province of Gelderland, situated in the Betuwe region between the cities of Arnhem and Nijmegen.
-
B.
Alweg
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
E.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
- 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: Langeweg Triple: [Moerdijk, containsSettlement, Langeweg]
Generated description
Langeweg is a small village in the Dutch province of North Brabant, located within the municipality of Moerdijk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langeweg Target entity description: Langeweg is a small village in the Dutch province of North Brabant, located within the municipality of Moerdijk.
-
A.
Lingewaard
Lingewaard is a municipality in the Dutch province of Gelderland, situated in the Betuwe region between the cities of Arnhem and Nijmegen.
-
B.
Alweg
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
E.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae179a24819097019976707c93e1 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb074bc9c8190a080bb57bb1844be |
completed | May 9, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb0c2af8081909e845bb8c9f9cdc7 |
completed | May 9, 2026, 3:57 a.m. |
Created at: April 10, 2026, 3:03 a.m.