Triple
T32792988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Night Thought |
E838679
|
entity |
| Predicate | thirdLineInChinese |
P187398
|
FINISHED |
| Object | 举头望明月 |
—
|
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: 举头望明月 | Statement: [Quiet Night Thought, thirdLineInChinese, 举头望明月]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdLineInChinese Context triple: [Quiet Night Thought, thirdLineInChinese, 举头望明月]
-
A.
isMultilingualWithinChinese
Indicates that an entity uses or involves multiple distinct Chinese language varieties (e.g., dialects, scripts, or regional forms) within a Chinese linguistic context.
-
B.
limitedChinese
Indicates that the relationship or action is restricted, constrained, or only partially applicable within a Chinese-language or China-related context.
-
C.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
D.
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.
-
E.
ChineseObjective
Indicates that an entity has an objective, goal, or target specifically related to China or the Chinese context.
- F. None of above. chosen
Provenance (4 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_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 1, 2026, 1:14 a.m.