Triple
T38190785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern River watershed |
E1005452
|
entity |
| Predicate | historicallyDrainedTo |
P203816
|
FINISHED |
| Object | Tulare Lake basin |
E31401
|
NE 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: Tulare Lake basin | Statement: [Kern River watershed, historicallyDrainedTo, Tulare Lake basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyDrainedTo Context triple: [Kern River watershed, historicallyDrainedTo, Tulare Lake basin]
-
A.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
-
B.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
C.
drainedFor
Indicates that a resource, substance, or energy is removed from one entity for the benefit, use, or purpose of another entity.
-
D.
drainedFrom
Indicates that a substance, resource, or liquid has been removed or emptied out from a particular source or container.
-
E.
drainedIn
Indicates that a liquid, resource, or substance has flowed out from one entity and been discharged or emptied into another entity or location.
- F. None of above. chosen
Provenance (5 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a020ec13d808190b41acdc31adc4191 |
completed | May 11, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b4182488190b98f8120c35aee16 |
completed | June 28, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_6a020d9259c08190ad0370091c23ea8a |
completed | May 11, 2026, 5:10 p.m. |
| PDg | Predicate description generation | batch_6a020ec02db481908ba6487e19c02491 |
completed | May 11, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4:29 p.m.