Triple
T31972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Human Nature |
E637
|
entity |
| Predicate | pageCount |
P1468
|
FINISHED |
| Object | approximately 260 |
—
|
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: approximately 260 | Statement: [On Human Nature, pageCount, approximately 260]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageCount Context triple: [On Human Nature, pageCount, approximately 260]
-
A.
pages
chosen
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
B.
articleCount
Indicates the number of articles associated with a given entity or context.
-
C.
collectionSize
Indicates the total number of items contained within a specified collection.
-
D.
numberOfSpans
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
E.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.