Triple
T17573970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemhaven |
E428010
|
entity |
| Predicate | hasNearbyFacility |
P5648
|
FINISHED |
| Object |
Waalhaven
Waalhaven is a major harbor and industrial area in the Port of Rotterdam, known for its extensive cargo and logistics facilities.
|
E18143
|
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: Waalhaven | Statement: [Eemhaven, hasNearbyFacility, Waalhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waalhaven Context triple: [Eemhaven, hasNearbyFacility, Waalhaven]
-
A.
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
B.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
C.
Dijver
Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
-
D.
Oostzaan
Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
-
E.
Nieuwe Waterweg
Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
- 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: Waalhaven Triple: [Eemhaven, hasNearbyFacility, Waalhaven]
Generated description
Waalhaven is a major harbor and industrial area in the Port of Rotterdam, known for its extensive cargo and logistics facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waalhaven Target entity description: Waalhaven is a major harbor and industrial area in the Port of Rotterdam, known for its extensive cargo and logistics facilities.
-
A.
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
B.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
C.
Dijver
Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
-
D.
Oostzaan
Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
-
E.
Nieuwe Waterweg
chosen
Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
- F. None of above.
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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242e103708190921b0c39db9430bf |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a0246019bcc8190a16c934e9f0a9d01 |
completed | May 11, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a024674f46081909942775bf4419a7d |
completed | May 11, 2026, 9:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.