Triple
T13544092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stichtse Vecht |
E323466
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Tienhoven aan de Vecht |
E660020
|
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: Tienhoven aan de Vecht | Statement: [Stichtse Vecht, hasSettlement, Tienhoven aan de Vecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tienhoven aan de Vecht Context triple: [Stichtse Vecht, hasSettlement, Tienhoven aan de Vecht]
-
A.
Tienhoven aan de Lek
chosen
Tienhoven aan de Lek is a small village in the Dutch province of South Holland, situated along the river Lek and known for its rural character and historic charm.
-
B.
Zevenhoven
Zevenhoven is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
-
C.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
D.
Vollenhove
Vollenhove is a historic town in the Dutch province of Overijssel, known for its former status as a regional administrative and noble center with several notable estates and churches.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bae316081909e048ead31a9575a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.