Triple
T25794609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern River Formation |
E649644
|
entity |
| Predicate | typicalOilViscosity |
P48486
|
FINISHED |
| Object | high viscosity |
—
|
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: high viscosity | Statement: [Kern River Formation, typicalOilViscosity, high viscosity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOilViscosity Context triple: [Kern River Formation, typicalOilViscosity, high viscosity]
-
A.
viscosity
chosen
Indicates the degree to which a fluid resists flowing or changing shape under an applied force.
-
B.
oilType
Indicates the specific kind or classification of oil associated with an entity.
-
C.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
D.
typicalFuel
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
E.
typicalEngineCharacteristic
Indicates that the specified property or feature is a characteristic commonly or typically associated with the given engine.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 22, 2026, 6:27 a.m.