Triple
T15725751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Ninth Festival |
E381212
|
entity |
| Predicate | linkedToPoetry |
P52908
|
FINISHED |
| Object | poems by Wang Wei |
—
|
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: poems by Wang Wei | Statement: [Double Ninth Festival, linkedToPoetry, poems by Wang Wei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToPoetry Context triple: [Double Ninth Festival, linkedToPoetry, poems by Wang Wei]
-
A.
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.
-
B.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
C.
poeticCategory
Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
-
D.
usedByPoet
Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
-
E.
viewsPoetryAs
Indicates that one entity regards or interprets poetry in a particular way or from a specific perspective.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb357a88190a92641c8a8c20573 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.