Triple
T12653434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Maliebaan railway station |
E302221
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Maliebaan |
E996614
|
NE FINISHED |
How this triple was built (2 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: [former Maliebaan railway station, locatedOn, Maliebaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maliebaan Context triple: [former Maliebaan railway station, locatedOn, Maliebaan]
-
A.
Maliebaan
chosen
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.
-
B.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
C.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.