Triple
T11068786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kempen |
E261690
|
entity |
| Predicate | hasUrbanCenters |
P11388
|
FINISHED |
| Object | Geel |
E543565
|
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: Geel | Statement: [Kempen, hasUrbanCenters, Geel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geel Context triple: [Kempen, hasUrbanCenters, Geel]
-
A.
Geel
chosen
Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
-
B.
Gelb
Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
-
C.
Žut
Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
-
D.
Yallow
Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
-
E.
Blågult
Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8b2d6e881909eeddf1e6427ad5c |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.