Triple
T14185982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lansingerland-Zoetermeer railway station |
E351576
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | NS |
E109586
|
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: NS | Statement: [Lansingerland-Zoetermeer railway station, style, NS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS Context triple: [Lansingerland-Zoetermeer railway station, style, NS]
-
A.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
-
B.
NS
chosen
NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
-
C.
NS
NS is the official post-nominal title used by individuals conferred the prestigious Order of National Scientists of the Philippines for their outstanding contributions to science and technology.
-
D.
NS
NS is the vehicle registration code for the city of Novi Sad in Serbia.
-
E.
SN
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.