Triple
T22902239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parsons, Kansas |
E568349
|
entity |
| Predicate | hasNewspaper |
P80
|
FINISHED |
| Object |
Parsons Sun
The Parsons Sun is a local daily newspaper serving the community of Parsons and the surrounding area in southeastern Kansas.
|
E1560822
|
NE FINISHED |
How this triple was built (4 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: Parsons Sun | Statement: [Parsons, Kansas, hasNewspaper, Parsons Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parsons Sun Context triple: [Parsons, Kansas, hasNewspaper, Parsons Sun]
-
A.
Parsons
Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
-
B.
Parsons
Parsons is a surname of English origin borne by numerous notable individuals across politics, arts, science, and other fields.
-
C.
Parsons Paris
Parsons Paris is the European campus of Parsons School of Design in Paris, offering art and design education with a global, interdisciplinary focus.
-
D.
Parker
Parker is a professional associated with Leverage Consulting & Associates, likely serving as a consultant or key team member within the firm.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Parsons Sun Triple: [Parsons, Kansas, hasNewspaper, Parsons Sun]
Generated description
The Parsons Sun is a local daily newspaper serving the community of Parsons and the surrounding area in southeastern Kansas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parsons Sun Target entity description: The Parsons Sun is a local daily newspaper serving the community of Parsons and the surrounding area in southeastern Kansas.
-
A.
Parsons
Parsons is a residential neighborhood located within the city of Wilkes-Barre in northeastern Pennsylvania.
-
B.
Parsons
Parsons is a surname of English origin borne by numerous notable individuals across politics, arts, science, and other fields.
-
C.
Parsons Paris
Parsons Paris is the European campus of Parsons School of Design in Paris, offering art and design education with a global, interdisciplinary focus.
-
D.
Parker
Parker is a professional associated with Leverage Consulting & Associates, likely serving as a consultant or key team member within the firm.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- F. None of above. chosen
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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18016d8e481908fc47d003156b800 |
completed | April 29, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9cbbdf481909d628c86abc8f515 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb6ca76c8190bde7e1eacb121d23 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc2a2244819090ead891e1a866ed |
completed | May 19, 2026, 1:26 a.m. |
Created at: April 17, 2026, 3:41 p.m.