Triple
T32175666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Roads Lead to Rome |
E821835
|
entity |
| Predicate | featuresTravel |
P84159
|
FINISHED |
| Object | trip through Italy |
—
|
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: trip through Italy | Statement: [All Roads Lead to Rome, featuresTravel, trip through Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTravel Context triple: [All Roads Lead to Rome, featuresTravel, trip through Italy]
-
A.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
B.
travelStyle
Indicates the manner or characteristic way in which an entity typically travels or undertakes journeys.
-
C.
travelHub
Indicates a location that serves as a central node or major interchange point for travel or transportation connections between different places or routes.
-
D.
tourismCharacteristic
chosen
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
-
E.
travelCharacteristic
Indicates a quality, feature, or attribute that characterizes how travel or movement is conducted or experienced.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: May 1, 2026, 12:34 a.m.