Triple
T1583982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida A&M University |
E34029
|
entity |
| Predicate | landGrantStatus |
P17831
|
FINISHED |
| Object | 1890 land-grant institution |
—
|
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: 1890 land-grant institution | Statement: [Florida A&M University, landGrantStatus, 1890 land-grant institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landGrantStatus Context triple: [Florida A&M University, landGrantStatus, 1890 land-grant institution]
-
A.
landGrantDesignation
chosen
Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
-
B.
grantsStatus
Indicates that one entity confers or assigns a particular status or standing to another entity.
-
C.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
D.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
-
E.
landGrantedBy
Indicates that one party has given or transferred legal rights to a piece of land to another party.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.