Triple
T30968799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elegies (Propertius) |
E789032
|
entity |
| Predicate | laterBooksFocus |
P199018
|
FINISHED |
| Object | mythological narratives |
—
|
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: mythological narratives | Statement: [Elegies (Propertius), laterBooksFocus, mythological narratives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBooksFocus Context triple: [Elegies (Propertius), laterBooksFocus, mythological narratives]
-
A.
Book1Focus
Indicates that the primary attention, emphasis, or thematic concentration is placed on the first book in a set or sequence.
-
B.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
C.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
D.
focusOfBookI
Indicates that something is the main subject or central topic discussed in the first book of a work.
-
E.
book7Focus
Indicates that a particular book is the primary focus or central subject of attention in a given context.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69ff1ba7494481908678a7a0f93dbd03 |
completed | May 9, 2026, 11:33 a.m. |
Created at: April 29, 2026, 8:54 p.m.