Triple
T11011566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooi en Vechtstreek |
E260259
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Maarssen |
E522008
|
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: Maarssen | Statement: [Gooi en Vechtstreek, contains, Maarssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maarssen Context triple: [Gooi en Vechtstreek, contains, Maarssen]
-
A.
Maarssen
chosen
Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
-
B.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
C.
Maasdijk
Maasdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to the North Sea coast.
-
D.
Maashorst
Maashorst is a municipality in the Dutch province of North Brabant, known for its extensive nature reserve featuring heathlands, forests, and free-roaming large grazers.
-
E.
Albrandswaard
Albrandswaard is a municipality in the western Netherlands, situated just south of Rotterdam in the province of South Holland.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797899a388190aa8fe813eac4dba7 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe5eeba08190849171d079745d1a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 8, 2026, 9:25 p.m.