Triple
T12433928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathay |
E297095
|
entity |
| Predicate | hasApproximateNumberOfPoems |
P32364
|
FINISHED |
| Object | about 15 |
—
|
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 15 | Statement: [Cathay, hasApproximateNumberOfPoems, about 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfPoems Context triple: [Cathay, hasApproximateNumberOfPoems, about 15]
-
A.
approximateNumberOfPoems
chosen
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
B.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
C.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
D.
poemLength
Indicates the length or extent of a poem, typically measured in units such as lines, verses, or words.
-
E.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.