Triple
T1338246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam–Utrecht railway |
E28404
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Maarssen |
E522008
|
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: Maarssen | Statement: [Amsterdam–Utrecht railway, hasStation, Maarssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maarssen Context triple: [Amsterdam–Utrecht railway, hasStation, Maarssen]
-
A.
Maarssen
chosen
Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
-
B.
Maasdijk
Maasdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to the North Sea coast.
-
C.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
D.
Hardinxveld-Giessendam
Hardinxveld-Giessendam is a Dutch town and municipality known for its shipbuilding industry and location along the river Merwede in the province of South Holland.
-
E.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf779f7d54819083e1cb88e34c6d34 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:56 p.m.