Triple
T8291059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trzy Korony |
E193896
|
entity |
| Predicate | observationDeckMaterial |
P82568
|
FINISHED |
| Object | metal platform |
—
|
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: metal platform | Statement: [Trzy Korony, observationDeckMaterial, metal platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationDeckMaterial Context triple: [Trzy Korony, observationDeckMaterial, metal platform]
-
A.
observationDeckFloor
Indicates the specific floor or level of a building on which an observation deck is located.
-
B.
observationDeckHeight
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
C.
hasObservationDeckName
Indicates that an observation deck is associated with a specific name or title.
-
D.
towerObservationDeck
Indicates that an observation deck is located on or is part of a tower.
-
E.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9b65e0819083ddc82fb7c4a5f3 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.