Triple
T26280009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzgen |
E660676
|
entity |
| Predicate | hasStructureDatingFromCentury |
P64930
|
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: [Uzgen, hasStructureDatingFromCentury, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureDatingFromCentury Context triple: [Uzgen, hasStructureDatingFromCentury, 11th century]
-
A.
existsSinceCentury
Indicates that an entity has existed or been in effect since a specified century.
-
B.
ownedInCentury
Indicates that one entity owned another during a specified century.
-
C.
formedInCentury
chosen
Indicates that an entity (such as an organization, group, or structure) was established or came into existence during a specified century.
-
D.
attestedUntilCentury
Indicates the latest century up to which the existence or use of something is historically documented or evidenced.
-
E.
observedSinceCentury
Indicates that one entity has been observed or documented as existing or occurring since a specified century.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 26, 2026, 9:59 p.m.