Triple
T11980111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijnsweerd |
E285134
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | city of Utrecht |
E288888
|
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: city of Utrecht | Statement: [Rijnsweerd, partOf, city of Utrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Utrecht Context triple: [Rijnsweerd, partOf, city of Utrecht]
-
A.
Utrecht
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.
-
B.
New Utrecht
New Utrecht is a historic neighborhood in the southwestern part of Brooklyn, New York City, originally founded as a Dutch town in the 17th century.
-
C.
Utrecht, Netherlands
chosen
Utrecht is a historic Dutch city known for its medieval old town, prominent religious and educational institutions, and role as a major cultural and economic center in the Netherlands.
-
D.
Haarlem
Haarlem is a historic Dutch city in the province of North Holland, known for its medieval architecture, cultural heritage, and role as a regional center near Amsterdam.
-
E.
Rotterdam
Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90395a8788190bfbb3506c29e3825 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8062f88190bdb644a8e0b1ac5f |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:46 p.m.