Triple
T920705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web 1.0 |
E19875
|
entity |
| Predicate | contentModel |
P628
|
FINISHED |
| Object | centralized content creation |
—
|
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: centralized content creation | Statement: [Web 1.0, contentModel, centralized content creation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentModel Context triple: [Web 1.0, contentModel, centralized content creation]
-
A.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
B.
contentProvider
Indicates that one entity serves as the source or supplier of content (such as media, information, or data) for another entity.
-
C.
documentModel
Indicates that an entity serves as or is associated with a specific structured representation or schema of a document.
-
D.
publishingModel
chosen
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
E.
GCContent
Indicates the proportion of guanine (G) and cytosine (C) bases relative to the total nucleotide content in a DNA or RNA sequence.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.