Triple
T5776917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herwijnen |
E127465
|
entity |
| Predicate | mergedIntoMunicipality |
P77
|
FINISHED |
| Object |
Lingewaal
Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
|
E542877
|
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: Lingewaal | Statement: [Herwijnen, mergedIntoMunicipality, Lingewaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lingewaal Context triple: [Herwijnen, mergedIntoMunicipality, Lingewaal]
-
A.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
B.
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.
-
C.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
- 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: Lingewaal Triple: [Herwijnen, mergedIntoMunicipality, Lingewaal]
Generated description
Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lingewaal Target entity description: Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
-
A.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
B.
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.
-
C.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029dfccdc8190bed937f493e42aed |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6fd260819090d5e3c877c8bd31 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08ba48a1c819090f276116a084a01 |
completed | March 23, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08c094bd08190bb3d849bf1a80ad0 |
completed | March 23, 2026, 12:40 a.m. |
Created at: March 22, 2026, 3:50 p.m.