Triple
T25412179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesia Raya |
E636730
|
entity |
| Predicate | firstPublicationNewspaper |
P47750
|
FINISHED |
| Object | Sin Po |
—
|
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: Sin Po | Statement: [Indonesia Raya, firstPublicationNewspaper, Sin Po]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationNewspaper Context triple: [Indonesia Raya, firstPublicationNewspaper, Sin Po]
-
A.
firstPublicationIn
chosen
Indicates the initial venue, medium, or context in which a work was first published.
-
B.
newspaperFoundedYear
Indicates the year in which a newspaper was originally established or founded.
-
C.
firstNewspaperUsingYear
Indicates the year in which a newspaper was first used, published, or came into existence.
-
D.
newspaperOfOrigin
Indicates the newspaper from which something (such as an article, report, or content item) originally comes or was first published.
-
E.
newspaperFounded
Indicates that a particular newspaper was established or began publication at a specific time or by a specific founder.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 21, 2026, 1:55 p.m.