Triple
T5079131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro line 52 |
E114471
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Noord |
E491764
|
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: Noord | Statement: [Metro line 52, hasStation, Noord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noord Context triple: [Metro line 52, hasStation, Noord]
-
A.
Noord
Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
-
B.
Noord
chosen
Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
-
C.
Zuid
Zuid is a major Amsterdam railway and metro station that serves as a key transport hub in the city’s southern business district.
-
D.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
-
E.
Norra
Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f75cf0819088be9e076eaf3168 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec35e7b848190bbb4cea9d09531e0 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:39 p.m.