Triple
T11945632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Mississippi |
E284289
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Picayune |
E234120
|
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: Picayune | Statement: [Southern Mississippi, hasCity, Picayune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picayune Context triple: [Southern Mississippi, hasCity, Picayune]
-
A.
Picayune
chosen
Picayune is a small city in Pearl River County, Mississippi, known as a regional hub near the Louisiana border.
-
B.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
-
C.
Pennyville
Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
-
D.
Barberville
Barberville is a small unincorporated rural community in Volusia County, Florida, known for its historic village and annual pioneer settlement events.
-
E.
Youngsville
Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
- 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_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440ac6c68819094bd27058d13cd4d |
completed | May 1, 2026, 5:57 a.m. |
Created at: April 8, 2026, 9:45 p.m.