Triple
T8873192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan |
E211208
|
entity |
| Predicate | rankByAreaInUS |
P1891
|
FINISHED |
| Object | 11th largest state by area |
—
|
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: 11th largest state by area | Statement: [Michigan, rankByAreaInUS, 11th largest state by area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByAreaInUS Context triple: [Michigan, rankByAreaInUS, 11th largest state by area]
-
A.
areaRankInUS
chosen
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
B.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
C.
areaRankingInContiguousUS
Indicates the relative position of an entity when U.S. states are ordered by area, considering only those in the contiguous United States.
-
D.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
E.
areaRankInStateByLandArea
Indicates the relative position of an entity within its state when all entities are ordered by their land area, from largest to smallest.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc612952348190856d6964122c3f01 |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.