Triple
T5667488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baca County, Colorado |
E124890
|
entity |
| Predicate | isCornerCountyOf |
P65639
|
FINISHED |
| Object | southeastern corner of Colorado |
—
|
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: southeastern corner of Colorado | Statement: [Baca County, Colorado, isCornerCountyOf, southeastern corner of Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCornerCountyOf Context triple: [Baca County, Colorado, isCornerCountyOf, southeastern corner of Colorado]
-
A.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
B.
isEasternmostCountyOf
Indicates that a county is the geographically farthest east within the boundaries of a specified larger region or jurisdiction.
-
C.
hasNearbyCounty
Indicates that one county is geographically close to or directly adjacent to another county.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
hasCentralCounty
Indicates that an administrative or geographic region is associated with a specific county that serves as its central or primary county.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0236af5308190b3d698eadf7bcd2b |
completed | March 22, 2026, 5:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.