Triple
T36370729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National road 92 (Poland) |
E895745
|
entity |
| Predicate | formerDesignationPartly |
P179641
|
FINISHED |
| Object | DK2 (National road 2, Poland) |
—
|
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: DK2 (National road 2, Poland) | Statement: [National road 92 (Poland), formerDesignationPartly, DK2 (National road 2, Poland)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerDesignationPartly Context triple: [National road 92 (Poland), formerDesignationPartly, DK2 (National road 2, Poland)]
-
A.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
B.
formerPart
Indicates that an entity was once a component or member of another entity but is no longer part of it.
-
C.
partlyDesignatedOn
chosen
Indicates that something has been assigned or designated only in part or to a limited extent on a particular entity, context, or domain.
-
D.
modernDesignation
Indicates the current or contemporary name, label, or classification now used for something that previously had a different designation.
-
E.
previousDesignationIncludes
Indicates that an entity’s earlier or former official name, title, or designation contained the specified value.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00a094c44c81908e4501151688a635 |
completed | May 10, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a009fcdfd848190841deaad9667d347 |
completed | May 10, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:10 p.m.