Triple
T24531497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendoza metropolitan area |
E606821
|
entity |
| Predicate | connectsToCountryByRoad |
P108988
|
FINISHED |
| Object | Chile |
—
|
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: Chile | Statement: [Mendoza metropolitan area, connectsToCountryByRoad, Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToCountryByRoad Context triple: [Mendoza metropolitan area, connectsToCountryByRoad, Chile]
-
A.
hasTransportCountryRoadNetwork
Indicates that an entity possesses or is associated with a system of country roads used for transportation.
-
B.
roadNetworkCountryCode
Indicates the country code associated with the road network in which the related entity or segment is located.
-
C.
roadAccessCountryNetwork
chosen
Indicates that there exists a road-based transportation connection or accessibility between a country and a broader network of locations or routes.
-
D.
viaCountry
Indicates that something passes through, transits, or is routed by way of a specified country.
-
E.
connectsToCountryBorder
Indicates that one entity is directly adjacent to and touches the border of a specified 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.