Triple
T23781488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yalu River Broken Bridge |
E587825
|
entity |
| Predicate | numberOfSpansRemainingOnChineseSide |
P153910
|
FINISHED |
| Object | about half of original spans |
—
|
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 half of original spans | Statement: [Yalu River Broken Bridge, numberOfSpansRemainingOnChineseSide, about half of original spans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpansRemainingOnChineseSide Context triple: [Yalu River Broken Bridge, numberOfSpansRemainingOnChineseSide, about half of original spans]
-
A.
lengthInChina
Indicates that the specified length or distance is measured according to standards, units, or conditions applicable within China.
-
B.
numberOfSpans
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
C.
hasMultipleChineseCharacters
Indicates that the referenced item consists of more than one Chinese character.
-
D.
numberOfSideSpans
Indicates the count of side spans associated with a primary span or structure.
-
E.
limitedChinese
Indicates that the relationship or action is restricted, constrained, or only partially applicable within a Chinese-language or China-related 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62d7c608190b5fd0cf35f5faf42 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:16 p.m.