Triple
T3333377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coconino County, Arizona |
E70083
|
entity |
| Predicate | areaRankInUSCounties |
P1891
|
FINISHED |
| Object | second-largest by area in contiguous United States |
—
|
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: second-largest by area in contiguous United States | Statement: [Coconino County, Arizona, areaRankInUSCounties, second-largest by area in contiguous United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInUSCounties Context triple: [Coconino County, Arizona, areaRankInUSCounties, second-largest by area in contiguous United States]
-
A.
populationRankInCounty
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
B.
areaRankInUS
chosen
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
C.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
-
D.
mostPopulousCountyIn
Indicates that the subject is the county with the largest population within the specified object region or jurisdiction.
-
E.
areaRankingInContiguousUS
Indicates the relative position of an entity when U.S. states are ordered by area, considering only those in the contiguous United States.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb194960081909333c855f06d8b03 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.