Triple
T20962384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Messenian War |
E516278
|
entity |
| Predicate | poeticalReference |
P52908
|
FINISHED |
| Object | fragments of Tyrtaeus’ war poetry |
—
|
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: fragments of Tyrtaeus’ war poetry | Statement: [First Messenian War, poeticalReference, fragments of Tyrtaeus’ war poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poeticalReference Context triple: [First Messenian War, poeticalReference, fragments of Tyrtaeus’ war poetry]
-
A.
notableQuatrain
Indicates that the subject is a four-line verse (quatrain) that is recognized as notable, significant, or especially well-known.
-
B.
poeticCategory
Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
-
C.
associatedWithPoem
chosen
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
D.
poemAuthor
Indicates that one entity is the author or creator of a poem represented by the other entity.
-
E.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6fd1d48190ad0ec7eb72f84889 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:32 p.m.