Triple
T8231419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico Turquino |
E192300
|
entity |
| Predicate | hasNationalRanking |
P30985
|
FINISHED |
| Object | highest mountain in Cuba |
—
|
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: highest mountain in Cuba | Statement: [Pico Turquino, hasNationalRanking, highest mountain in Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalRanking Context triple: [Pico Turquino, hasNationalRanking, highest mountain in Cuba]
-
A.
nationalRankingScope
Indicates that the ranking being referred to is evaluated at the national (country-wide) level rather than regional or local scopes.
-
B.
nationalRank
chosen
Indicates the position or standing of an entity within a ranking system at the national level.
-
C.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
D.
nationalRankingHistorical
Indicates the historical position or level an entity held within a national ranking over time.
-
E.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7824a6c48190a3abb76c4c3dcc71 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.