Triple
T2708456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria van Reigersberch |
E59799
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | The Hague |
E5547
|
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: The Hague | Statement: [Maria van Reigersberch, residence, The Hague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hague Context triple: [Maria van Reigersberch, residence, The Hague]
-
A.
The Hague
chosen
The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
-
B.
Amsterdam
Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
-
C.
Leeuwarden
Leeuwarden is a historic city in the northern Netherlands, known as the capital of the province of Friesland and for its rich cultural and architectural heritage.
-
D.
Rotterdam
Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
-
E.
Leiden
Leiden is a historic Dutch city in South Holland known for its prestigious university, rich cultural heritage, and well-preserved canals and old town.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda73de1c81908f5d6b0383e23144 |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055b28ad88190a9fafc15871afa5f |
completed | March 10, 2026, 5:32 p.m. |
Created at: March 6, 2026, 9:55 p.m.