Triple
T14642510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neshoba County |
E343761
|
entity |
| Predicate | NeshobaCountyFairKnownFor |
P58216
|
FINISHED |
| Object | political speeches |
—
|
LITERAL 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: political speeches | Statement: [Neshoba County, NeshobaCountyFairKnownFor, political speeches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NeshobaCountyFairKnownFor Context triple: [Neshoba County, NeshobaCountyFairKnownFor, political speeches]
-
A.
hasCountyFair
chosen
Indicates that a place or region hosts or holds a county fair event.
-
B.
notableCounty
Indicates that a county holds particular significance or prominence in relation to the subject.
-
C.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
D.
wasCounty
Indicates that an entity previously held the status or role of a county in relation to a larger administrative or political unit.
-
E.
garrisonCounty
Indicates that a military garrison is stationed in, or assigned responsibility for, a particular county.
- F. None of above.
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.