Triple
T26947682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy is shipwrecked on her way to Australia |
E678690
|
entity |
| Predicate | occursDuringJourneyTo |
P164302
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [Dorothy is shipwrecked on her way to Australia, occursDuringJourneyTo, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursDuringJourneyTo Context triple: [Dorothy is shipwrecked on her way to Australia, occursDuringJourneyTo, Australia]
-
A.
requiresJourneyOf
Indicates that one entity can only be achieved, accessed, or completed by undertaking a journey or progression involving another entity.
-
B.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
C.
timeOfJourneyDescribed
Indicates that the predicate specifies the particular time period or duration during which the described journey takes place.
-
D.
withinTravelTo
Indicates that one location is close enough to another that traveling between them is feasible or practical within a specified limit (such as time or distance).
-
E.
journeyFrom
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
- F. None of above. chosen
Provenance (4 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 6:22 a.m.