Triple
T30155412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 长江 |
E766507
|
entity |
| Predicate | 在中国长度排名 |
P19643
|
FINISHED |
| Object | 第1 |
—
|
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: 第1 | Statement: [长江, 在中国长度排名, 第1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在中国长度排名 Context triple: [长江, 在中国长度排名, 第1]
-
A.
rankingByLengthInChina
chosen
Indicates that entities are ordered or evaluated based on their length within the context of China.
-
B.
lengthInChina
Indicates that the specified length or distance is measured according to standards, units, or conditions applicable within China.
-
C.
hasLongestRiver
Indicates that one entity possesses or contains the river that is longer than any other river associated with the compared entities.
-
D.
isOneOfLargestInlandFreshwaterLakesInChina
Indicates that an entity belongs to the group of the largest inland freshwater lakes located within China.
-
E.
riverLength
Indicates the measured extent of a river from its source to its mouth, typically expressed as a linear distance.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed72fb08190955d6bfd90dd3b8e |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.