Triple
T7653396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capelle aan den IJssel |
E173315
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
De Terp
De Terp is a metro station in the Dutch city of Capelle aan den IJssel that serves as a local stop on the Rotterdam metro network.
|
E682610
|
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: De Terp | Statement: [Capelle aan den IJssel, hasMetroStation, De Terp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Terp Context triple: [Capelle aan den IJssel, hasMetroStation, De Terp]
-
A.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
B.
Malieveld
Malieveld is a large open field and event grounds in The Hague, Netherlands, known for hosting demonstrations, festivals, and public gatherings.
-
C.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
-
D.
Oosterpark
Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
-
E.
Leiderdorp
Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden 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: De Terp Triple: [Capelle aan den IJssel, hasMetroStation, De Terp]
Generated description
De Terp is a metro station in the Dutch city of Capelle aan den IJssel that serves as a local stop on the Rotterdam metro network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Terp Target entity description: De Terp is a metro station in the Dutch city of Capelle aan den IJssel that serves as a local stop on the Rotterdam metro network.
-
A.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
B.
Malieveld
Malieveld is a large open field and event grounds in The Hague, Netherlands, known for hosting demonstrations, festivals, and public gatherings.
-
C.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
-
D.
Oosterpark
Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
-
E.
Leiderdorp
Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018c34a88190be6089a9105bd4b0 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac925a6c8190aa7a4fe4f580d14f |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8ad7b6c4881909e7b26e1db5d26bb |
completed | March 29, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8add57fc481909825b950d609517c |
completed | March 29, 2026, 4:43 a.m. |
Created at: March 27, 2026, 3:59 p.m.