Triple
T29059490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chungará Lake |
E735483
|
entity |
| Predicate | hasNearbyInternationalRoad |
P195768
|
FINISHED |
| Object | Arica–La Paz international route |
—
|
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: Arica–La Paz international route | Statement: [Chungará Lake, hasNearbyInternationalRoad, Arica–La Paz international route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyInternationalRoad Context triple: [Chungará Lake, hasNearbyInternationalRoad, Arica–La Paz international route]
-
A.
hasLocalRoad
Indicates that there exists a local road connection or association between the related entities.
-
B.
hasNearbyStreet
Indicates that one entity is located close to or adjacent to a street.
-
C.
nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used road.
-
D.
isRemoteByRoad
Indicates that one location is difficult or time-consuming to reach from another when traveling by road.
-
E.
nearInterstate
Indicates that one entity is located close to or in the immediate vicinity of an interstate highway.
- F. None of above. chosen
Provenance (4 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: April 28, 2026, 10:14 a.m.