Triple
T8006006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drongen |
E186364
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Leie
Leie is a river in Western Europe that flows through France and Belgium, including the Ghent suburb of Drongen, and is known for its scenic landscapes and historical significance in the region.
|
E701738
|
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: Leie | Statement: [Drongen, locatedOnRiver, Leie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leie Context triple: [Drongen, locatedOnRiver, Leie]
-
A.
Seilebost
Seilebost is a small, scenic village on the Isle of Harris in Scotland’s Outer Hebrides, known for its white-sand beaches and views over turquoise waters.
-
B.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
C.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
-
D.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
E.
Leisi
Leisi is a small settlement located on the island of Saaremaa in western Estonia.
- 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: Leie Triple: [Drongen, locatedOnRiver, Leie]
Generated description
Leie is a river in Western Europe that flows through France and Belgium, including the Ghent suburb of Drongen, and is known for its scenic landscapes and historical significance in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leie Target entity description: Leie is a river in Western Europe that flows through France and Belgium, including the Ghent suburb of Drongen, and is known for its scenic landscapes and historical significance in the region.
-
A.
Seilebost
Seilebost is a small, scenic village on the Isle of Harris in Scotland’s Outer Hebrides, known for its white-sand beaches and views over turquoise waters.
-
B.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
C.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
-
D.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
E.
Leisi
Leisi is a small settlement located on the island of Saaremaa in western Estonia.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf72fc08190aa78b97c1ab92f90 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe12c068c8190a6ea7e924a7748c6 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe442999881909544802bb9a91cd5 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc09c676148190964d4947310ec16a |
completed | March 31, 2026, 5:52 p.m. |
Created at: March 30, 2026, 5:18 p.m.