Triple
T25733560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandau |
E645309
|
entity |
| Predicate | countryIn19thCentury |
P177088
|
FINISHED |
| Object | Russian Empire |
—
|
NE NERFINISHED |
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: Russian Empire | Statement: [Kandau, countryIn19thCentury, Russian Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryIn19thCentury Context triple: [Kandau, countryIn19thCentury, Russian Empire]
-
A.
countryDuring18thCentury
Indicates that an entity functioned as a country or sovereign political unit at some time during the 18th century.
-
B.
countryDuring17thCentury
Indicates that an entity functioned as a country during some or all of the 17th century.
-
C.
countryDuring16thCentury
Indicates that an entity functioned as a country or sovereign political unit during the 16th century.
-
D.
countryDuringLaterPeriod
Indicates that an entity served as the country associated with another entity during a specified later time period.
-
E.
countryInThePast
Indicates that an entity was recognized as a country during some period in the past, but is not necessarily a country in the present.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 21, 2026, 11:20 p.m.