Triple
T5107942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twiggs County |
E115143
|
entity |
| Predicate | hasLargestCity |
P235
|
FINISHED |
| Object | Jeffersonville |
E493598
|
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: Jeffersonville | Statement: [Twiggs County, hasLargestCity, Jeffersonville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffersonville Context triple: [Twiggs County, hasLargestCity, Jeffersonville]
-
A.
Jeffersonville
chosen
Jeffersonville is a small city in central Georgia that serves as the administrative and governmental hub of Twiggs County.
-
B.
Jeffersonville, Indiana
Jeffersonville, Indiana is a city on the Ohio River across from Louisville, Kentucky, known for its historic downtown, riverfront development, and role as a regional commercial and transportation hub.
-
C.
Evansville
Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
-
D.
Lafayette, Indiana
Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
-
E.
Warrick
Warrick is a surname of English origin borne by various notable individuals across fields such as music, sports, and public life.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a8ee7881908876859402911e5a |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36fe8dc8190a391547043d28e11 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.