Triple
T321073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Senate |
E6416
|
entity |
| Predicate | locatedInCity |
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 Senate, locatedInCity, Tallahassee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallahassee Context triple: [Florida Senate, locatedInCity, 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.
Orlando
Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
-
D.
Pensacola, Florida
Pensacola, Florida is a historic Gulf Coast city in the Florida Panhandle known for its white-sand beaches, naval air station, and role as one of the earliest European settlements in the United States.
-
E.
Jacksonville, Florida
Jacksonville, Florida is a major city in northeastern Florida known for its extensive riverfront, large land area, and role as a regional economic and transportation hub.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c56fbac8190a2c0c12b5d70d4bd |
completed | March 1, 2026, 4:41 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.