Triple
T9845903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadling Country |
E239340
|
entity |
| Predicate | hasColorCodingRule |
P48842
|
FINISHED |
| Object | inhabitants favor red clothing |
—
|
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: inhabitants favor red clothing | Statement: [Quadling Country, hasColorCodingRule, inhabitants favor red clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorCodingRule Context triple: [Quadling Country, hasColorCodingRule, inhabitants favor red clothing]
-
A.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
B.
isColorCodedLine
Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
-
C.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
D.
hasColorInfo
chosen
Indicates that an entity is associated with specific color-related information or attributes.
-
E.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35ff7848190a8a717773d8654b9 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.