Triple
T26135131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staniszów |
E659356
|
entity |
| Predicate | pre1945Name |
P159981
|
FINISHED |
| Object | Stonsdorf |
—
|
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: Stonsdorf | Statement: [Staniszów, pre1945Name, Stonsdorf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pre1945Name Context triple: [Staniszów, pre1945Name, Stonsdorf]
-
A.
countryBefore1940
Indicates that the specified country existed or was recognized as such prior to the year 1940.
-
B.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
-
C.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
D.
preColonialNameFor
Indicates that one name was used for something in the pre-colonial period and refers to the same entity later known by a different (typically colonial or post-colonial) name.
-
E.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b96085c81908a43574f4e07e70d |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:17 p.m.