Triple
T32792989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Night Thought |
E838679
|
entity |
| Predicate | fourthLineInChinese |
P39994
|
FINISHED |
| Object | 低头思故乡 |
—
|
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: 低头思故乡 | Statement: [Quiet Night Thought, fourthLineInChinese, 低头思故乡]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthLineInChinese Context triple: [Quiet Night Thought, fourthLineInChinese, 低头思故乡]
-
A.
fourthCantoSetting
Indicates the location or environment in which the events of the fourth canto take place.
-
B.
fourthSingle
Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
-
C.
numberOfSpansRemainingOnChineseSide
Indicates the remaining count of structural spans that are still present or yet to be completed on the Chinese side of a divided construction or infrastructure element.
-
D.
fourthCharacterMeaning
Indicates that the relationship specifies the meaning or significance of the fourth character in a given string or sequence.
-
E.
hasFourthCharacter
chosen
Indicates that one entity possesses or is associated with a specific fourth character in a sequence or string.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:14 a.m.