Triple
T17453149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadion Wrocław |
E424962
|
entity |
| Predicate | colorOfExteriorLighting |
P27165
|
FINISHED |
| Object | variable LED colors |
—
|
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: variable LED colors | Statement: [Stadion Wrocław, colorOfExteriorLighting, variable LED colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorOfExteriorLighting Context triple: [Stadion Wrocław, colorOfExteriorLighting, variable LED colors]
-
A.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
-
B.
lightingColor
chosen
Indicates the color or hue of the lighting applied to or associated with an entity.
-
C.
lighthouseColor
Indicates the color attribute associated with a lighthouse.
-
D.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
E.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.