Triple
T16663579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Valparaíso |
E404920
|
entity |
| Predicate | rankInChileByPopulation |
P18762
|
FINISHED |
| Object | one of the largest metropolitan areas in Chile |
—
|
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: one of the largest metropolitan areas in Chile | Statement: [Gran Valparaíso, rankInChileByPopulation, one of the largest metropolitan areas in Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInChileByPopulation Context triple: [Gran Valparaíso, rankInChileByPopulation, one of the largest metropolitan areas in Chile]
-
A.
hasPopulationRankInChile
chosen
Indicates the relative position of an entity in the ordered ranking of populations within Chile.
-
B.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
C.
areaInChile
Indicates that a place, region, or geographic area is located within the national territory of Chile.
-
D.
populationRankInBolivia
Indicates the relative position of an entity in terms of population size compared to other entities within Bolivia.
-
E.
populationRankInMexico
Indicates the relative position of an entity in terms of population size compared to other entities within Mexico.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9afd048190b73bbc9c423915ca |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.