Triple
T30218737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Libertadores border crossing |
E768279
|
entity |
| Predicate | isAllWeatherRoute |
P168993
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Los Libertadores border crossing, isAllWeatherRoute, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAllWeatherRoute Context triple: [Los Libertadores border crossing, isAllWeatherRoute, false]
-
A.
isAllWeatherAttraction
Indicates that an attraction remains suitable and available to visit in all weather conditions.
-
B.
hasWinterRoute
Indicates that an entity has an associated route or path specifically designated for use during the winter season.
-
C.
isWeatherProtected
Indicates that an entity is shielded from or resistant to adverse weather conditions.
-
D.
routeSeason
Indicates a relationship between a specific route and the season or time period during which that route is active, valid, or applicable.
-
E.
hasWeatherContext
Indicates that something is associated with, influenced by, or described in terms of specific weather conditions or patterns.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ff800788190b72b805d7ab44594 |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:34 p.m.