Triple
T32254285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scripps-Howard Newspapers |
E823967
|
entity |
| Predicate | hasNotableNewspaper |
P121024
|
FINISHED |
| Object | Cincinnati Post |
—
|
NE NERFINISHED |
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: Cincinnati Post | Statement: [Scripps-Howard Newspapers, hasNotableNewspaper, Cincinnati Post]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableNewspaper Context triple: [Scripps-Howard Newspapers, hasNotableNewspaper, Cincinnati Post]
-
A.
hadNewspaper
Indicates that an entity possessed or was in ownership of a newspaper at a particular time.
-
B.
isServedByNewspaper
Indicates that a person or entity receives news or information provided by a particular newspaper.
-
C.
hasNewspaperFoundedThere
Indicates that a newspaper was founded at or in the location specified by the related entity.
-
D.
hasNewspaperType
Indicates that an entity is associated with or classified by a particular type or category of newspaper.
-
E.
associatedWithNewspaper
chosen
Indicates a relationship where an entity is connected or linked to a newspaper, such as through ownership, employment, contribution, or representation.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0120f070b081909b6d1a3d8ee6b80e |
completed | May 11, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_6a01209da37481909683e38f264b15ef |
completed | May 11, 2026, 12:19 a.m. |
Created at: May 1, 2026, 12:41 a.m.