Triple
T1146780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo van Gogh |
E23583
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Utrecht, Netherlands |
E8157
|
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: Utrecht, Netherlands | Statement: [Theo van Gogh, burialPlace, Utrecht, Netherlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utrecht, Netherlands Context triple: [Theo van Gogh, burialPlace, Utrecht, Netherlands]
-
A.
Haarlem, Netherlands
Haarlem, Netherlands is a historic Dutch city near Amsterdam known for its medieval architecture, cultural heritage, and role as the capital of North Holland.
-
B.
Enschede, Netherlands
Enschede is a city in the eastern Netherlands known for its former textile industry, technical university, and location near the German border.
-
C.
Utrecht
chosen
Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
-
D.
Zundert, Netherlands
Zundert, Netherlands is a small Dutch town in North Brabant best known as the birthplace of painter Vincent van Gogh.
-
E.
Asten, Netherlands
Asten is a town in the Dutch province of North Brabant known for its bell foundry and carillon manufacturing industry.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc6e8c2081909fb3534413b7aacb |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0146e1ec8190974e9d73acd6ca90 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:44 p.m.