Triple
T19503452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney |
E487960
|
entity |
| Predicate | hasOriginalPublicationFormat |
P35132
|
FINISHED |
| Object | newspaper/periodical comic strip |
—
|
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: newspaper/periodical comic strip | Statement: [Sydney, hasOriginalPublicationFormat, newspaper/periodical comic strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPublicationFormat Context triple: [Sydney, hasOriginalPublicationFormat, newspaper/periodical comic strip]
-
A.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
B.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
C.
hasOriginalWorkMedium
Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
-
D.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
-
E.
originalPublisherType
Indicates the type or category of the entity that first published or released the content.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350f8d888190a4809c83522933d4 |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.