Triple
T3822835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voivodeship road 216 |
E88615
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Jurata |
E102991
|
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: Jurata | Statement: [Voivodeship road 216, passesThrough, Jurata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jurata Context triple: [Voivodeship road 216, passesThrough, Jurata]
-
A.
Jurata
chosen
Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
-
B.
Jopara
Jopara is a mixed language spoken in Paraguay that blends Guaraní and Spanish in everyday communication.
-
C.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
D.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
E.
Jarma
Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea63fe2c8190825f6e9451f6aa50 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f75f6c8190b9af77ed212a2774 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.