Triple
T3269593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dailey |
E68610
|
entity |
| Predicate | jurisdiction |
P82
|
FINISHED |
| Object | City of 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: City of Tallahassee | Statement: [John Dailey, jurisdiction, City of Tallahassee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Tallahassee Context triple: [John Dailey, jurisdiction, City of Tallahassee]
-
A.
Gainesville
Gainesville is a rapidly growing suburban community in Northern Virginia known for its residential developments, shopping centers, and proximity to Washington, D.C.
-
B.
Gainesville
Gainesville is a city in northern Georgia known as a regional economic center and for its proximity to Lake Lanier and the foothills of the Blue Ridge Mountains.
-
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.
Tallahassee
chosen
Tallahassee is a city in the Florida Panhandle known for its government institutions, universities, and rolling, forested hills.
-
E.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafd0eddc8190834a64f6b8e8e9f9 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdc422d08190aa67bc39619c3290 |
completed | March 14, 2026, 2:53 a.m. |
Created at: March 8, 2026, 3:09 p.m.