Triple
T20155788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogwarts Express |
E491561
|
entity |
| Predicate | hasCarriageType |
P47469
|
FINISHED |
| Object | compartment coaches |
—
|
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: compartment coaches | Statement: [Hogwarts Express, hasCarriageType, compartment coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarriageType Context triple: [Hogwarts Express, hasCarriageType, compartment coaches]
-
A.
hasCarriage
Indicates that one entity possesses, is equipped with, or is accompanied by a carriage associated with it.
-
B.
hasCarriageWorks
Indicates that one entity possesses, operates, or is associated with facilities where railway carriages are designed, built, or maintained in relation to another entity.
-
C.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
D.
carriageType
chosen
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
E.
hasChassisType
Indicates that an entity is associated with or equipped with a specific type of chassis.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.