Triple
T9190621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prostki |
E220578
|
entity |
| Predicate | countySeatDistance |
P69055
|
FINISHED |
| Object | approximately 15 km south of Ełk |
—
|
LITERAL 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: approximately 15 km south of Ełk | Statement: [Prostki, countySeatDistance, approximately 15 km south of Ełk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countySeatDistance Context triple: [Prostki, countySeatDistance, approximately 15 km south of Ełk]
-
A.
districtHeadquartersDistance
Indicates the distance between a place and its corresponding district headquarters.
-
B.
hasCountyCapitalDistance
chosen
Indicates a distance relationship specifying how far a county is from its capital.
-
C.
stateCapitalProximity
Indicates the spatial closeness or distance between a state’s capital city and another specified location.
-
D.
distanceFromMajorCity
Indicates the measured distance between a given location and a specified major city.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
- F. None of above.
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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.