Triple
T16821821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beeckestijn |
E408911
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Driehuis |
E408911
|
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: Driehuis | Statement: [Beeckestijn, locatedNear, Driehuis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Driehuis Context triple: [Beeckestijn, locatedNear, Driehuis]
-
A.
Driehuis
chosen
Driehuis is a village in the Dutch province of North Holland, known for its residential character and proximity to the North Sea coast and nearby dunes.
-
B.
Trippenhuis
Trippenhuis is a historic 17th-century canal house in Amsterdam that serves as the headquarters of the Royal Netherlands Academy of Arts and Sciences.
-
C.
Houten Huys
Houten Huys is one of the oldest surviving wooden houses in Amsterdam, located in the historic Begijnhof courtyard.
-
D.
Huis ter Heide
Huis ter Heide is a small village in the Dutch province of Utrecht, known for its wooded surroundings and proximity to the former airbase at Soesterberg.
-
E.
De Hoeve
De Hoeve is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb11f8708190ae762a28710e4246 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.