Triple
T8143927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclid's Elements |
E190161
|
entity |
| Predicate | book7Focus |
P80929
|
FINISHED |
| Object | elementary number theory |
—
|
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: elementary number theory | Statement: [Euclid's Elements, book7Focus, elementary number theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book7Focus Context triple: [Euclid's Elements, book7Focus, elementary number theory]
-
A.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
B.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
C.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
-
D.
book7Title
Indicates the title assigned to the book identified as book7.
-
E.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.