Triple
T1357786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester, Minnesota |
E29027
|
entity |
| Predicate | rankInMinnesotaByPopulation |
P27978
|
FINISHED |
| Object | third-largest city in Minnesota |
—
|
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: third-largest city in Minnesota | Statement: [Rochester, Minnesota, rankInMinnesotaByPopulation, third-largest city in Minnesota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInMinnesotaByPopulation Context triple: [Rochester, Minnesota, rankInMinnesotaByPopulation, third-largest city in Minnesota]
-
A.
rankInKansasByPopulation
Indicates the position of an entity in an ordered list of Kansas entities based on their population size.
-
B.
rankInCaliforniaByPopulation
Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
-
C.
populationRankInMissouri
Indicates the relative position of an entity in terms of population size compared to other entities within the state of Missouri.
-
D.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
E.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c20fd1fc8190977a768b1ed2d23b |
completed | March 1, 2026, 10:47 p.m. |
Created at: March 1, 2026, 7:56 p.m.