Triple
T30150959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄浦江 |
E766392
|
entity |
| Predicate | 干流走向 |
P75396
|
FINISHED |
| Object | 大致由西南向东北流 |
—
|
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: 大致由西南向东北流 | Statement: [黄浦江, 干流走向, 大致由西南向东北流]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 干流走向 Context triple: [黄浦江, 干流走向, 大致由西南向东北流]
-
A.
waterwayDirection
chosen
Indicates the directional flow or orientation of a waterway relative to a reference point or path.
-
B.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
C.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
D.
watercourseProgression
Indicates the downstream sequence in which a watercourse flows into other water bodies or watercourses.
-
E.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
- 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_69f67ed4297c81909062f19b7795f181 |
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.