Triple
T32384492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese poetry |
E827512
|
entity |
| Predicate | earliestCanonicalCollection |
P87994
|
FINISHED |
| Object | Classic of Poetry |
—
|
NE NERFINISHED |
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: Classic of Poetry | Statement: [Chinese poetry, earliestCanonicalCollection, Classic of Poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestCanonicalCollection Context triple: [Chinese poetry, earliestCanonicalCollection, Classic of Poetry]
-
A.
hasCanonicalCollectionEdition
Indicates that an entity has a specific edition that is recognized as the authoritative or standard version within a collection.
-
B.
isEarliestCollectedEditionOf
Indicates that one edition of a work is the earliest (in time of collection or acquisition) among all collected editions of that work.
-
C.
earliestVersionDate
Indicates the date on which the earliest known or first version of an entity was created, released, or became valid.
-
D.
earliestOf
chosen
Indicates that one entity occurs or is positioned earlier in time or order than all other entities in a given set.
-
E.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 12:51 a.m.