Triple
T4228365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibola County, New Mexico |
E94514
|
entity |
| Predicate | areaUnit |
P55442
|
FINISHED |
| Object | square miles |
—
|
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: square miles | Statement: [Cibola County, New Mexico, areaUnit, square miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaUnit Context triple: [Cibola County, New Mexico, areaUnit, square miles]
-
A.
areaLandSquareMiles
Indicates the amount of land area an entity occupies, measured in square miles.
-
B.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
C.
areaApproxKm2
Indicates that one entity has an approximate area, measured in square kilometers, given by the other entity.
-
D.
landAreaSquareMiles
Indicates the size of a geographic area measured in square miles.
-
E.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e51817c8190bff50f2c3b5deea0 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.