Triple
T9967384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnosielc, Congress Poland, Russian Empire |
E195717
|
entity |
| Predicate | timeInState |
P302
|
FINISHED |
| Object | 19th–early 20th century under Russian rule |
—
|
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: 19th–early 20th century under Russian rule | Statement: [Krasnosielc, Congress Poland, Russian Empire, timeInState, 19th–early 20th century under Russian rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInState Context triple: [Krasnosielc, Congress Poland, Russian Empire, timeInState, 19th–early 20th century under Russian rule]
-
A.
inStateSince
Indicates that an entity has been in a particular state continuously starting from a specified point in time.
-
B.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
C.
timeStatus
Indicates the temporal state or condition of an event or entity relative to a reference time (e.g., past, present, future, ongoing, or scheduled).
-
D.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timeInCountry
Indicates the duration or amount of time that an entity spends or has spent within a particular country.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:47 p.m.