Triple
T15403988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenwijk |
E368400
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Giethoorn |
E133349
|
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: Giethoorn | Statement: [Steenwijk, nearbyTown, Giethoorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giethoorn Context triple: [Steenwijk, nearbyTown, Giethoorn]
-
A.
Giethoorn
chosen
Giethoorn is a picturesque Dutch village famous for its canals, thatched-roof farmhouses, and boat-only waterways, often called the "Venice of the Netherlands."
-
B.
Beemster Lake
Beemster Lake was a former inland lake in the Netherlands that was drained in the early 17th century to create the Beemster polder, now a UNESCO World Heritage cultural landscape.
-
C.
Watergraafsmeer
Watergraafsmeer is a residential neighborhood and former polder in the eastern part of Amsterdam, known for its green spaces and relatively quiet, spacious character.
-
D.
Loosdrechtse Plassen
Loosdrechtse Plassen is a popular lake and wetland area in the Netherlands known for its scenic waterways, water sports, and natural reserves.
-
E.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cee12e08190a7dc9f1577ca967d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:19 a.m.