Triple
T19321912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quintus Smyrnaeus |
E483244
|
entity |
| Predicate | PosthomericaVersesApprox |
P8730
|
FINISHED |
| Object | about 8700 hexameter lines |
—
|
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: about 8700 hexameter lines | Statement: [Quintus Smyrnaeus, PosthomericaVersesApprox, about 8700 hexameter lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PosthomericaVersesApprox Context triple: [Quintus Smyrnaeus, PosthomericaVersesApprox, about 8700 hexameter lines]
-
A.
latestPoemsDateToCenturyBCE
Indicates the mapping from the date of the latest poems to the corresponding century before the Common Era in which that date falls.
-
B.
approximateNumberOfPoems
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
C.
numberOfOdes
Indicates the quantity of odes associated with or contained in a given entity.
-
D.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
-
E.
hasVerseCount
chosen
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.