Triple
T6338088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GDA |
E142541
|
entity |
| Predicate | subregionCode |
P31833
|
FINISHED |
| Object | DA indicates Gdańsk area |
—
|
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: DA indicates Gdańsk area | Statement: [GDA, subregionCode, DA indicates Gdańsk area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subregionCode Context triple: [GDA, subregionCode, DA indicates Gdańsk area]
-
A.
subregionCodeFor
chosen
Indicates that one entity is the code assigned to identify a specific subregion of the other entity.
-
B.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
C.
regionSub
Indicates that one region is a subregion or contained part of another, larger region.
-
D.
countrySubregion
Indicates that a country is located within or belongs to a specific subregion of the world.
-
E.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.