Triple
T11844783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carriage Driver (The Wizard of Oz) |
E281746
|
entity |
| Predicate | carriageFeature |
P8159
|
FINISHED |
| Object | color-changing horse |
—
|
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: color-changing horse | Statement: [The Carriage Driver (The Wizard of Oz), carriageFeature, color-changing horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriageFeature Context triple: [The Carriage Driver (The Wizard of Oz), carriageFeature, color-changing horse]
-
A.
carriageType
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
B.
transportCharacteristic
chosen
Indicates a relationship where a specific characteristic, property, or feature is attributed to a mode or instance of transport.
-
C.
transportationCharacteristic
Indicates a specific property, feature, or quality that characterizes a mode, means, or instance of transportation.
-
D.
cargoCapacityFeature
Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
-
E.
railwayCarriageUsedFor
Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.