Triple
T9614213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honolulu Civil Beat |
E232177
|
entity |
| Predicate | journalismType |
P89241
|
FINISHED |
| Object | watchdog journalism |
—
|
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: watchdog journalism | Statement: [Honolulu Civil Beat, journalismType, watchdog journalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: journalismType Context triple: [Honolulu Civil Beat, journalismType, watchdog journalism]
-
A.
journalismSchool
Indicates that one entity is a journalism school attended by, affiliated with, or providing education/training in journalism to the other entity.
-
B.
journalType
Indicates the specific category or format of a journal associated with an entity.
-
C.
mediaSubject
Indicates that a piece of media (e.g., an article, video, or broadcast) is about, focuses on, or covers a particular subject or topic.
-
D.
reporterType
Indicates the specific role or category of reporter associated with an entity or event.
-
E.
magazineType
Indicates the specific category or genre to which a magazine belongs.
- F. None of above. chosen
Provenance (4 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.