Triple
T13103215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Ronde Venen |
E310770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wilnis
Wilnis is a village in the Dutch province of Utrecht, known for its rural character and location within the municipality of De Ronde Venen.
|
E1019198
|
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: Wilnis | Statement: [De Ronde Venen, contains, Wilnis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilnis Context triple: [De Ronde Venen, contains, Wilnis]
-
A.
Wurtulla
Wurtulla is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its long sandy beaches and residential communities.
-
B.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
C.
Elswit
Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
-
D.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
E.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
- 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: Wilnis Triple: [De Ronde Venen, contains, Wilnis]
Generated description
Wilnis is a village in the Dutch province of Utrecht, known for its rural character and location within the municipality of De Ronde Venen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilnis Target entity description: Wilnis is a village in the Dutch province of Utrecht, known for its rural character and location within the municipality of De Ronde Venen.
-
A.
Wurtulla
Wurtulla is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its long sandy beaches and residential communities.
-
B.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
C.
Elswit
Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
-
D.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
E.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61d88888190bfc631b759f14598 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d7123cc48190985360c3ab76a6d0 |
completed | May 3, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d7bc235481909799b57e44f0aef2 |
completed | May 3, 2026, 5:06 a.m. |
Created at: April 9, 2026, 9:04 p.m.