Triple
T16329678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadion Zagłębia Lubin |
E396515
|
entity |
| Predicate | hasHomeColorsAssociated |
P85337
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [Stadion Zagłębia Lubin, hasHomeColorsAssociated, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeColorsAssociated Context triple: [Stadion Zagłębia Lubin, hasHomeColorsAssociated, orange]
-
A.
hasHouseColor
Indicates that an entity possesses a house whose exterior is characterized by a specific color.
-
B.
usesHomeKitColor
Indicates that an entity configures or controls another entity’s color settings through Apple HomeKit’s color management capabilities.
-
C.
associatedWithHomeKitColor
Indicates that something is linked to or corresponds with a specific color configuration used in Apple HomeKit.
-
D.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
E.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.