Triple
T71222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soda Lake (San Bernardino County) |
E1424
|
entity |
| Predicate | drainagePattern |
P3558
|
FINISHED |
| Object | internal drainage |
—
|
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: internal drainage | Statement: [Soda Lake (San Bernardino County), drainagePattern, internal drainage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainagePattern Context triple: [Soda Lake (San Bernardino County), drainagePattern, internal drainage]
-
A.
drainageBasin
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
B.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
C.
oceanDrainageBasin
Indicates the ocean into which a river system or drainage basin ultimately discharges its water.
-
D.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
E.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24f65170c8190bc541c8351456a4d |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.