Triple
T24531521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 215-CH |
E606822
|
entity |
| Predicate | connectsToCountryViaPass |
P92645
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Route 215-CH, connectsToCountryViaPass, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToCountryViaPass Context triple: [Route 215-CH, connectsToCountryViaPass, Argentina]
-
A.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
B.
connectsToCountryBorder
Indicates that one entity is directly adjacent to and touches the border of a specified country.
-
C.
enteredCountryVia
chosen
Indicates that an entity came into a country using a specific entry point, route, or method.
-
D.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
E.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.