Triple
T26938063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamnik |
E678438
|
entity |
| Predicate | wasFirstMentionedInYear |
P98261
|
FINISHED |
| Object | 11th 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: 11th century | Statement: [Kamnik, wasFirstMentionedInYear, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstMentionedInYear Context triple: [Kamnik, wasFirstMentionedInYear, 11th century]
-
A.
ageFirstMentioned
chosen
Indicates the point in time or age at which an entity is first referenced or mentioned in a given context.
-
B.
yearMentionedByUser
Indicates that a specific calendar year is explicitly referenced or mentioned by the user.
-
C.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
D.
madeFamousInYear
Indicates that an entity became widely known or gained significant fame in a specified year.
-
E.
wasFirstSynthesizedInYear
Indicates that the entity’s initial successful synthesis or creation occurred in the specified calendar year.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62050af2481909ce5687b36c4aabc |
completed | May 2, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:16 a.m.