Triple
T11948291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Framingham State University |
E284359
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FSU |
E284359
|
NE 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: FSU | Statement: [Framingham State University, abbreviation, FSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FSU Context triple: [Framingham State University, abbreviation, FSU]
-
A.
FSU
FSU is a public university in Fresno, California, known for its academic programs, research, and NCAA Division I athletics as part of the California State University system.
-
B.
FSU
chosen
FSU is a public university in Framingham, Massachusetts, known for its undergraduate and graduate programs in liberal arts, sciences, and professional studies.
-
C.
USF
USF is a private Christian liberal arts university located in Sioux Falls, South Dakota.
-
D.
Florida State University
Florida State University is a major public research university in Tallahassee, Florida, known for its strong academic programs, vibrant campus life, and competitive athletics.
-
E.
FAU
FAU is a major public research university in Bavaria, Germany, known for its strong programs in engineering, sciences, and humanities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90346825c8190ab4482a1fc8eed56 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458e003a0819082d052fd0bb88d8b |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.