Triple
T22706230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potosí |
E561459
|
entity |
| Predicate | populationRankHistorical |
P124469
|
FINISHED |
| Object | one of the largest cities in the world in the 17th century |
—
|
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 cities in the world in the 17th century | Statement: [Potosí, populationRankHistorical, one of the largest cities in the world in the 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankHistorical Context triple: [Potosí, populationRankHistorical, one of the largest cities in the world in the 17th century]
-
A.
populationRankInHistory
chosen
Indicates the relative position of an entity’s population size compared to others across all recorded historical periods.
-
B.
populationRankAfter
Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
-
C.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
D.
nationalRankingHistorical
Indicates the historical position or level an entity held within a national ranking over time.
-
E.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ceba6c8190a538366a8e4648de |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.