Triple
T7888626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Atacama |
E183165
|
entity |
| Predicate | hasPublicMission |
P67102
|
FINISHED |
| Object | access to higher education in northern Chile |
—
|
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: access to higher education in northern Chile | Statement: [University of Atacama, hasPublicMission, access to higher education in northern Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicMission Context triple: [University of Atacama, hasPublicMission, access to higher education in northern Chile]
-
A.
hasNotableMission
Indicates that an entity is associated with a mission or undertaking that is considered significant or noteworthy.
-
B.
hasPublicServiceMission
chosen
Indicates that an entity is obligated or committed to provide services that serve the public interest or fulfill a public-benefit mandate.
-
C.
isTargetOfMission
Indicates that an entity is the intended objective or focus of a particular mission or operation.
-
D.
hasMissionAgency
Indicates that an entity is associated with, overseen by, or carried out under the responsibility of a particular mission agency.
-
E.
hasMissionActivity
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ea8d1c81908ef99569e0cf00b7 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:59 p.m.