Triple
T29340571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of the Dead (Grim Fandango) |
E744024
|
entity |
| Predicate | containsTransportSystem |
P941
|
FINISHED |
| Object | Number Nine train |
—
|
NE NERFINISHED |
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: Number Nine train | Statement: [Land of the Dead (Grim Fandango), containsTransportSystem, Number Nine train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTransportSystem Context triple: [Land of the Dead (Grim Fandango), containsTransportSystem, Number Nine train]
-
A.
hasTransportationSystem
chosen
Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
-
B.
hasTransportationElement
Indicates that one entity includes, involves, or is associated with a specific transportation-related component or feature.
-
C.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
D.
hasTransporters
Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
-
E.
isTransport
Indicates that one entity serves as a means or method for conveying or carrying another entity from one place 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: April 28, 2026, 1:33 p.m.