Triple
T21379802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Dou |
E527313
|
entity |
| Predicate | activeIn |
P1560
|
FINISHED |
| Object | The Hague |
—
|
NE NERFINISHED |
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: [Gerard Dou, activeIn, The Hague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hague Context triple: [Gerard Dou, activeIn, 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.
La Haye
La Haye is a small hamlet in Belgium best known for its proximity to key positions on the Waterloo battlefield.
-
C.
Hague
Hague is a British Conservative politician and life peer who served as Leader of the Opposition and later as Foreign Secretary of the United Kingdom.
-
D.
Duivendrecht
Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cc2b5c8190aa5f20f920523fe9 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.