Triple
T13236967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Messenger (Urmston newspaper) |
E315172
|
entity |
| Predicate | publishesContentAbout |
P35758
|
FINISHED |
| Object | local news |
—
|
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: local news | Statement: [The Messenger (Urmston newspaper), publishesContentAbout, local news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishesContentAbout Context triple: [The Messenger (Urmston newspaper), publishesContentAbout, local news]
-
A.
publishesContent
Indicates that one entity makes content created by another entity publicly available or distributed through some medium.
-
B.
publicationAbout
chosen
Indicates that a publication has content whose subject or focus is the referenced entity.
-
C.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
D.
publishesFor
Indicates that one entity issues, releases, or makes content publicly available on behalf of, or in service of, another entity.
-
E.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from another entity.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.