Triple
T6381159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Maryland Eastern Shore |
E143582
|
entity |
| Predicate | landGrantMission |
P70291
|
FINISHED |
| Object | teaching |
—
|
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: teaching | Statement: [University of Maryland Eastern Shore, landGrantMission, teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landGrantMission Context triple: [University of Maryland Eastern Shore, landGrantMission, teaching]
-
A.
landGrantField
Indicates that a specific field or parcel of land has been allocated or granted, typically by an authority, to a recipient under a land grant arrangement.
-
B.
landGrantLocation
Indicates the geographic place or area to which a particular land grant applies or in which it is situated.
-
C.
landGrantDesignation
Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
-
D.
isOldestAmericanSettlementWestOf
Indicates that one settlement is the earliest-established American settlement located to the west of another specified place.
-
E.
hasHistoricLandGrants
Indicates that an entity has been granted land through one or more historically significant official land grants.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685385948190938b67bff671072b |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:33 p.m.