Triple
T1566335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State University |
E33441
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Tallahassee |
E10084
|
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: Tallahassee | Statement: [Florida State University, city, Tallahassee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallahassee Context triple: [Florida State University, city, Tallahassee]
-
A.
Tallahassee
chosen
Tallahassee is a city in the Florida Panhandle known for its government institutions, universities, and rolling, forested hills.
-
B.
Gainesville
Gainesville is a rapidly growing suburban community in Northern Virginia known for its residential developments, shopping centers, and proximity to Washington, D.C.
-
C.
Tallahassee metropolitan area
The Tallahassee metropolitan area is a regional urban and economic hub in northern Florida centered on the state capital and its surrounding communities.
-
D.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
E.
Sanford
Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2308bec81909d1660934eff171b |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1a893fc8190832442b1b0937d69 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:27 p.m.