Triple
T36942657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuangtaizi River |
E913813
|
entity |
| Predicate | geographicDirectionOfFlow |
P75396
|
FINISHED |
| Object | generally southwest |
—
|
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: generally southwest | Statement: [Shuangtaizi River, geographicDirectionOfFlow, generally southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDirectionOfFlow Context triple: [Shuangtaizi River, geographicDirectionOfFlow, generally southwest]
-
A.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
B.
waterwayDirection
chosen
Indicates the directional flow or orientation of a waterway relative to a reference point or path.
-
C.
riverFlowsTo
Indicates that one river flows into, and ultimately joins or feeds, another body of water.
-
D.
pilgrimFlowDirection
Indicates the direction in which pilgrims move or travel along a route, path, or within a pilgrimage site.
-
E.
hasDirectionOfFlow
Indicates that something moves or is transmitted from one entity or location toward another along a specific path or orientation.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4:13 p.m.