Triple
T9993658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viva |
E196947
|
entity |
| Predicate | primaryCorridors |
P46518
|
FINISHED |
| Object | Highway 7 |
—
|
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: Highway 7 | Statement: [Viva, primaryCorridors, Highway 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCorridors Context triple: [Viva, primaryCorridors, Highway 7]
-
A.
primaryCorridorServed
chosen
Indicates that a corridor is the main route or pathway served by a given service, facility, or entity.
-
B.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
C.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
D.
isMostHeavilyTraveledCorridorIn
Indicates that a particular route or corridor experiences the highest volume of travel or traffic within a specified area or region.
-
E.
primaryRouteType
Indicates the main category or kind of route associated with an entity, such as its primary mode, path, or routing classification.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.