Triple
T3351717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simonshaven |
E70510
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Geervliet |
E233210
|
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: Geervliet | Statement: [Simonshaven, locatedNear, Geervliet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geervliet Context triple: [Simonshaven, locatedNear, Geervliet]
-
A.
Geervliet
chosen
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
B.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
-
C.
Bollenstreek
Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
-
D.
Overijse
Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
-
E.
Steenokkerzeel
Steenokkerzeel is a municipality in the Belgian province of Flemish Brabant, known for its proximity to Brussels and its location near major transport infrastructure.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb221a7d8819086cd0f826eca0fe8 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3342cf54081909d47876ff4ad4e81 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.