Triple
T11282378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijmegen Quarter |
E267094
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Veluwe Quarter |
E640403
|
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: Veluwe Quarter | Statement: [Nijmegen Quarter, borders, Veluwe Quarter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veluwe Quarter Context triple: [Nijmegen Quarter, borders, Veluwe Quarter]
-
A.
Veluwe Quarter
chosen
The Veluwe Quarter was a historical administrative region within the late medieval and early modern Duchy of Guelders in what is now the Netherlands.
-
B.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
-
C.
Nijmegen Quarter
Nijmegen Quarter was a historical administrative region centered around the city of Nijmegen within the medieval Duchy of Guelders in the Low Countries.
-
D.
De Terp
De Terp is a metro station in the Dutch city of Capelle aan den IJssel that serves as a local stop on the Rotterdam metro network.
-
E.
Malieveld
Malieveld is a large open field and event grounds in The Hague, Netherlands, known for hosting demonstrations, festivals, and public gatherings.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f471490081909036362c58e1e727 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.