Triple
T9672450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles–Las Vegas route |
E234060
|
entity |
| Predicate | mainMode |
P1302
|
FINISHED |
| Object | automobile 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: automobile travel | Statement: [Los Angeles–Las Vegas route, mainMode, automobile travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMode Context triple: [Los Angeles–Las Vegas route, mainMode, automobile travel]
-
A.
primaryMode
chosen
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
mainFunctions
Indicates that the subject serves as the primary or central functional component or role for the object.
-
C.
mainRite
Indicates that one ritual, ceremony, or rite is the primary or central rite associated with a given context, entity, or event.
-
D.
mainSingle
Indicates that an entity is the primary or sole main instance among a set of related entities.
-
E.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.