Triple
T25765114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Desha |
E648860
|
entity |
| Predicate | represented |
P192
|
FINISHED |
| Object |
Kentucky's at-large congressional district
Kentucky's at-large congressional district was a historical, statewide U.S. House district that represented the entire Commonwealth of Kentucky before it was divided into multiple congressional districts.
|
E1693611
|
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: Kentucky's at-large congressional district | Statement: [Joseph Desha, represented, Kentucky's at-large congressional district]
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: Kentucky's at-large congressional district Triple: [Joseph Desha, represented, Kentucky's at-large congressional district]
Generated description
Kentucky's at-large congressional district was a historical, statewide U.S. House district that represented the entire Commonwealth of Kentucky before it was divided into multiple congressional districts.
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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf2b7f48190bc8fdef839e9d005 |
completed | May 2, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc1aacf081908a23c0cd6f34678b |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10ccd356308190a6ab8b220efc0e7b |
completed | May 22, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10cdf9537481909131c59b126e69b6 |
completed | May 22, 2026, 9:43 p.m. |
Created at: April 22, 2026, 5:09 a.m.