Triple
T3252849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olkusz County |
E68221
|
entity |
| Predicate | hasUrbanGmina |
P46875
|
FINISHED |
| Object | Wolbrom |
E341873
|
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: Wolbrom | Statement: [Olkusz County, hasUrbanGmina, Wolbrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolbrom Context triple: [Olkusz County, hasUrbanGmina, Wolbrom]
-
A.
Wolbrom
chosen
Wolbrom is a small town in southern Poland known for its industrial traditions and location within the Lesser Poland Voivodeship.
-
B.
Walwen
Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
-
C.
Finowfurt
Finowfurt is a village in the German state of Brandenburg, known for its location in the Barnim district and its historical airfield and aviation museum.
-
D.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
E.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf440bb88190a2450405afae7f1f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8330720819091548d7f9652003a |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:09 p.m.