Triple
T1320094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal Offices and Train Station Delft |
E28196
|
entity |
| Predicate | client |
P27
|
FINISHED |
| Object | NS Stations |
E28407
|
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 Stations | Statement: [Municipal Offices and Train Station Delft, client, NS Stations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS Stations Context triple: [Municipal Offices and Train Station Delft, client, NS Stations]
-
A.
NS Stations
chosen
NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
-
B.
Sol station
Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
-
C.
Wawa station
Wawa station is a commuter rail station in Wawa, Pennsylvania, serving as the terminus of SEPTA's Media/Wawa Line.
-
D.
Wilson station
Wilson station is a Toronto Transit Commission subway station on Line 1 Yonge–University in North York, serving the surrounding residential, commercial, and industrial areas.
-
E.
Bethesda station
Bethesda station is an underground Washington Metro station in Bethesda, Maryland, serving the Red Line and the surrounding downtown commercial district.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c179883c8190b68fbeebb9696982 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf6a6d08190b8a30c2c64f15f59 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.