Triple
T45968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ojos del Salado |
E900
|
entity |
| Predicate | isSecondHighest |
P2403
|
FINISHED |
| Object | second highest mountain in the Western Hemisphere |
—
|
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: second highest mountain in the Western Hemisphere | Statement: [Ojos del Salado, isSecondHighest, second highest mountain in the Western Hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondHighest Context triple: [Ojos del Salado, isSecondHighest, second highest mountain in the Western Hemisphere]
-
A.
isStrongerThan
Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
-
B.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
C.
isTheHighestAwardOf
Indicates that one award is the most prestigious or top-ranking honor within a particular field, organization, or context.
-
D.
popularVoteRunnerUp
Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
-
E.
secondMostSpokenLanguage
Indicates that the related language is the second most widely spoken language associated with the given entity (such as a country, region, or population).
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69a24abd07508190a83ffba5368c1c79 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24b1a42888190b56a5e457e11604f |
completed | Feb. 28, 2026, 1:55 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.