Triple
T3351289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spijkenisse |
E70497
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | De Boekenberg |
E351569
|
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: De Boekenberg | Statement: [Spijkenisse, hasLandmark, De Boekenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Boekenberg Context triple: [Spijkenisse, hasLandmark, De Boekenberg]
-
A.
De Boekenberg
chosen
De Boekenberg is a striking, pyramid-shaped public library in Spijkenisse, Netherlands, known for its glass facade and tiered interior of wooden bookcases.
-
B.
Book Tower (Boekentoren)
The Book Tower (Boekentoren) is an iconic modernist library tower in Ghent, Belgium, designed by architect Henry van de Velde as a landmark of academic and architectural heritage.
-
C.
Bergen op Zoom
Bergen op Zoom is a historic city in the Dutch province of North Brabant, known for its medieval center, fortifications, and location near the Scheldt estuary.
-
D.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
E.
Montelbaanstoren
Montelbaanstoren is a historic 16th-century defensive tower on Amsterdam’s canals, later remodeled with an ornate spire and clock and now known as a picturesque city landmark.
- 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_69adb220721c81909eb4d8d35c923927 |
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.