Triple
T26341677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona Western College |
E662662
|
entity |
| Predicate | hasSatelliteLocations |
P13154
|
FINISHED |
| Object | San Luis, Arizona |
—
|
NE NERFINISHED |
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: San Luis, Arizona | Statement: [Arizona Western College, hasSatelliteLocations, San Luis, Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSatelliteLocations Context triple: [Arizona Western College, hasSatelliteLocations, San Luis, Arizona]
-
A.
hasSatelliteLocation
chosen
Indicates that an entity has a secondary or remote location associated with it, such as a branch, satellite office, or auxiliary site.
-
B.
hasSatelliteStatus
Indicates that one entity holds the status of being a satellite (e.g., dependent, subordinate, or orbiting body) in relation to another entity.
-
C.
satelliteLocation
Indicates that one entity is located in orbit around or positioned relative to another celestial body or reference point, as a satellite.
-
D.
hasSatelliteConstellation
Indicates that an entity possesses or operates a specific group of satellites functioning together as a coordinated constellation.
-
E.
hasSatelliteMonitoring
Indicates that an entity is being observed or tracked using satellite-based monitoring systems.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 10:39 p.m.