Triple
T28667781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau of Leng |
E725627
|
entity |
| Predicate | travelMethodInFiction |
P92122
|
FINISHED |
| Object | dream-travel |
—
|
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: dream-travel | Statement: [Plateau of Leng, travelMethodInFiction, dream-travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMethodInFiction Context triple: [Plateau of Leng, travelMethodInFiction, dream-travel]
-
A.
voyageDestinationInFiction
Indicates that a fictional voyage or journey is directed toward or ends at a particular destination within a work of fiction.
-
B.
movementSupportedInFiction
chosen
Indicates that a particular type of movement or locomotion is depicted as possible or enabled within a fictional context or narrative.
-
C.
vehicleOfTimeDisplacement
Indicates a relationship where something serves as the means or mechanism by which time displacement (time travel or temporal shifting) is carried out.
-
D.
flowsThroughInFiction
Indicates that, within a fictional context or narrative, one entity (typically a river or similar medium) passes through, traverses, or courses across another entity (such as a location or region).
-
E.
hasFictionalTransportLink
Indicates that there is a transportation connection between entities that exists only in a fictional or imagined context.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 5:02 a.m.