Triple
T10427914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongsberg |
E245832
|
entity |
| Predicate | wasMajorMiningTownInCentury |
P93529
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Kongsberg, wasMajorMiningTownInCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorMiningTownInCentury Context triple: [Kongsberg, wasMajorMiningTownInCentury, 17th century]
-
A.
foundedAsMiningTownIn
Indicates that a settlement or town was originally established as a mining town in the specified location or jurisdiction.
-
B.
wasRoyalMiningTownOf
Indicates that a town historically held official royal status and functioned as a designated center for mining activities under royal authority.
-
C.
usedAsTownNameInCentury
Indicates that a particular name was in use as the name of a town during a specified century.
-
D.
foundedAsMiningCamp
Indicates that a settlement or town was originally established as a mining camp.
-
E.
hasCoalMiningHistory
Indicates that an entity has a past or ongoing involvement in coal mining activities or industry.
- F. None of above. chosen
Provenance (4 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:13 p.m.