Triple
T3306219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veendam |
E69455
|
entity |
| Predicate | hasCanal |
P35
|
FINISHED |
| Object |
Oosterdiep
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
|
E347203
|
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: Oosterdiep | Statement: [Veendam, hasCanal, Oosterdiep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oosterdiep Context triple: [Veendam, hasCanal, Oosterdiep]
-
A.
Reitdiep
Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
-
B.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
E.
Eemshaven
Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
- 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: Oosterdiep Triple: [Veendam, hasCanal, Oosterdiep]
Generated description
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oosterdiep Target entity description: Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
-
A.
Reitdiep
Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
-
B.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
E.
Eemshaven
Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c9470881908c36c1984fdbb67b |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e6e55881909417d54e0d8f0a26 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa93ebc0819084c4cdfdb8d6e48d |
completed | March 12, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b6e224819080957998acbed524 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.