Triple
T20725631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waalwijk |
E509426
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Laageinde
Laageinde is a small settlement in the municipality of Waalwijk in the Dutch province of North Brabant.
|
E1447010
|
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: Laageinde | Statement: [Waalwijk, hasSettlement, Laageinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laageinde Context triple: [Waalwijk, hasSettlement, Laageinde]
-
A.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
B.
Laage
Laage is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, known for its proximity to Rostock–Laage Airport.
-
C.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
D.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
-
E.
Loenersloot
Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
- 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: Laageinde Triple: [Waalwijk, hasSettlement, Laageinde]
Generated description
Laageinde is a small settlement in the municipality of Waalwijk in the Dutch province of North Brabant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laageinde Target entity description: Laageinde is a small settlement in the municipality of Waalwijk in the Dutch province of North Brabant.
-
A.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
B.
Laage
Laage is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, known for its proximity to Rostock–Laage Airport.
-
C.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
D.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
-
E.
Loenersloot
Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e05b8d6081908bc76627caf05188 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e13ca768819084c58419e058b111 |
completed | May 16, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e1e759ec8190a305662f220a1826 |
completed | May 16, 2026, 9:30 p.m. |
Created at: April 16, 2026, 12:29 p.m.