Triple
T2179217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of Oz |
E49001
|
entity |
| Predicate | hasDirectionColorCoding |
P9560
|
FINISHED |
| Object | Munchkin Country is east and blue |
—
|
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: Munchkin Country is east and blue | Statement: [Land of Oz, hasDirectionColorCoding, Munchkin Country is east and blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectionColorCoding Context triple: [Land of Oz, hasDirectionColorCoding, Munchkin Country is east and blue]
-
A.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
hasRouteColorStandard
chosen
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
C.
hasDirectionVariability
Indicates that the direction associated with an entity or process is not fixed but varies over time, space, or conditions.
-
D.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
E.
directionalConfiguration
Indicates a specific spatial or directional arrangement that one entity has relative to another.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.