Triple
T1811202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoofddorp railway station |
E40335
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hoofddorp |
E76459
|
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: Hoofddorp | Statement: [Hoofddorp railway station, serves, Hoofddorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoofddorp Context triple: [Hoofddorp railway station, serves, Hoofddorp]
-
A.
Hoofddorp
chosen
Hoofddorp is the main town and administrative center of the municipality of Haarlemmermeer in the Netherlands.
-
B.
Zoetermeer
Zoetermeer is a modern, rapidly grown satellite city of The Hague in the western Netherlands, known for its residential neighborhoods and light-rail connections.
-
C.
Leidschendam-Voorburg
Leidschendam-Voorburg is a municipality in the western Netherlands, near The Hague, formed by the towns of Leidschendam and Voorburg.
-
D.
Zoeterwoude
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
E.
Amstelveen
Amstelveen is a suburban municipality in the province of North Holland in the Netherlands, located just south of Amsterdam and known for its residential character and proximity to major cultural and economic centers.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c64bc08190b993216890752b46 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775058c388190bba04cff5dba997a |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:32 p.m.