Triple
T8194357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuma Crossing |
E191388
|
entity |
| Predicate | riverCharacteristic |
P58508
|
FINISHED |
| Object | subject to seasonal flooding before dams |
—
|
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: subject to seasonal flooding before dams | Statement: [Yuma Crossing, riverCharacteristic, subject to seasonal flooding before dams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverCharacteristic Context triple: [Yuma Crossing, riverCharacteristic, subject to seasonal flooding before dams]
-
A.
riverFeatureType
Indicates the specific kind or category of physical or functional feature associated with a river (e.g., source, mouth, tributary, channel segment).
-
B.
hydrologicalCharacteristic
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
-
C.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
D.
hydrologyFeature
Indicates a relationship where one entity is a hydrological feature (such as a body or flow of water) associated with or characterizing another entity.
-
E.
riverPhenomenon
chosen
Indicates a natural event, condition, or process that occurs in or directly affects a river.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1f02248190adbe56a7d6be3419 |
completed | March 31, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:42 p.m.