Triple
T12653387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maliebaanstation |
E302220
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Maliebaan
Maliebaan is a historic tree-lined avenue in Utrecht, Netherlands, known for its 17th-century origins as a sporting lane and its later cultural and political significance.
|
E996614
|
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: Maliebaan | Statement: [Maliebaanstation, locatedOnStreet, Maliebaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maliebaan Context triple: [Maliebaanstation, locatedOnStreet, Maliebaan]
-
A.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
B.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
-
C.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
D.
Vriezekoop
Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
-
E.
Myekeleni
Myekeleni is a popular album by South African pop icon Brenda Fassie, showcasing her energetic vocal style and influence on Afropop music.
- 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: Maliebaan Triple: [Maliebaanstation, locatedOnStreet, Maliebaan]
Generated description
Maliebaan is a historic tree-lined avenue in Utrecht, Netherlands, known for its 17th-century origins as a sporting lane and its later cultural and political significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maliebaan Target entity description: Maliebaan is a historic tree-lined avenue in Utrecht, Netherlands, known for its 17th-century origins as a sporting lane and its later cultural and political significance.
-
A.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
B.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
-
C.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
D.
Vriezekoop
Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
-
E.
Myekeleni
Myekeleni is a popular album by South African pop icon Brenda Fassie, showcasing her energetic vocal style and influence on Afropop music.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.