Triple
T26917074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobrowniki |
E677544
|
entity |
| Predicate | locatedInIndustrialRegion |
P49790
|
FINISHED |
| Object | Upper Silesia |
—
|
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: Upper Silesia | Statement: [Bobrowniki, locatedInIndustrialRegion, Upper Silesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInIndustrialRegion Context triple: [Bobrowniki, locatedInIndustrialRegion, Upper Silesia]
-
A.
locatedInIndustrialCity
Indicates that something is situated within a city characterized primarily by industrial activity and facilities.
-
B.
partOfIndustrialRegion
chosen
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed area.
-
C.
isIndustrialRegion
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
D.
locatedInFormerIndustrialArea
Indicates that an entity is situated within an area that was previously used for industrial purposes but is no longer active as such.
-
E.
connectsToIndustrialArea
Indicates that one entity has a direct link, route, or access connection to an industrial area.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 27, 2026, 6:05 a.m.