Triple
T11134330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwolle railway station |
E263371
|
entity |
| Predicate | isJunctionOf |
P14465
|
FINISHED |
| Object | Hanzelijn |
E364990
|
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: Hanzelijn | Statement: [Zwolle railway station, isJunctionOf, Hanzelijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanzelijn Context triple: [Zwolle railway station, isJunctionOf, Hanzelijn]
-
A.
Hanzelijn
chosen
Hanzelijn is a Dutch railway line connecting Lelystad and Zwolle, designed to shorten travel times between the Randstad and the northern Netherlands and partially built for higher-speed services.
-
B.
Heenweg
Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
-
C.
Haarzuilens
Haarzuilens is a village in the Dutch province of Utrecht, known for its historic setting and association with the restored and redesigned Kasteel de Haar.
-
D.
Hekelingen
Hekelingen is a village in the Dutch province of South Holland, known as a small rural settlement near the town of Spijkenisse.
-
E.
Hendungen
Hendungen is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46308d2f481908827d0d569802f89 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.