Triple
T13042108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Encyclopedia of Philosophy |
E327218
|
entity |
| Predicate | articleLength |
P108406
|
FINISHED |
| Object | in-depth |
—
|
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: in-depth | Statement: [Internet Encyclopedia of Philosophy, articleLength, in-depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleLength Context triple: [Internet Encyclopedia of Philosophy, articleLength, in-depth]
-
A.
articleLengthPolicy
Indicates that there is a rule or constraint governing the acceptable length of an article.
-
B.
articleRange
Indicates that one entity specifies the start and end points of a contiguous range of articles that are grouped or referenced together.
-
C.
articleOrParagraph
Indicates that one entity is either an entire article or a specific paragraph within an article in relation to another entity.
-
D.
articleCount
Indicates the number of articles associated with a given entity or context.
-
E.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:56 p.m.