Triple
T38222896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davie County Sheriff’s Office |
E1012058
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Davie County jail
Davie County jail is a local detention facility in Davie County, North Carolina, used to house individuals in custody under the jurisdiction of county law enforcement and courts.
|
E2260578
|
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: Davie County jail | Statement: [Davie County Sheriff’s Office, operates, Davie County jail]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Davie County jail Triple: [Davie County Sheriff’s Office, operates, Davie County jail]
Generated description
Davie County jail is a local detention facility in Davie County, North Carolina, used to house individuals in custody under the jurisdiction of county law enforcement and courts.
Provenance (5 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcb15dd19881908138dca85a5cf519 |
completed | May 7, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41855349a8819098ff8b0350ebe198 |
completed | June 28, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_6a418656494881908409b6ed7f5bf2a5 |
completed | June 28, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41870347b0819084084ebb3013c1a1 |
completed | June 28, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:30 p.m.