Triple
T40977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greta Thunberg |
E807
|
entity |
| Predicate | travelPreference |
P3361
|
FINISHED |
| Object | avoiding air travel for climate reasons |
—
|
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: avoiding air travel for climate reasons | Statement: [Greta Thunberg, travelPreference, avoiding air travel for climate reasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelPreference Context triple: [Greta Thunberg, travelPreference, avoiding air travel for climate reasons]
-
A.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
B.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
C.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
D.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
E.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24db9527c8190816b6b25c88cb2f4 |
completed | Feb. 28, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69a24ab8a8908190beec6da6694dd4c9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24db81c748190948560892f12c61b |
completed | Feb. 28, 2026, 2:06 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.