Triple
T1844513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerrit Blaauw |
E41251
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Heemstede |
E80335
|
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: Heemstede | Statement: [Gerrit Blaauw, residence, Heemstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heemstede Context triple: [Gerrit Blaauw, residence, Heemstede]
-
A.
Heemstede
chosen
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
B.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
-
C.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
-
D.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
E.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb04fe9d481909b5c1973d3f9b92d |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf95285fc08190b6dcae44270f486f |
completed | March 22, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:33 p.m.