Triple
T30619498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shedgum |
E779406
|
entity |
| Predicate | fieldPressureMaintenance |
P176027
|
FINISHED |
| Object | water injection |
—
|
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: water injection | Statement: [Shedgum, fieldPressureMaintenance, water injection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldPressureMaintenance Context triple: [Shedgum, fieldPressureMaintenance, water injection]
-
A.
fuelPressureRegulation
Indicates that one entity controls or maintains the fuel pressure of another entity within a desired range.
-
B.
primarySystemPressure
Indicates the pressure value present in the main or primary system within a larger setup or process.
-
C.
chamberPressure
Indicates the pressure exerted by a gas or fluid within a defined chamber or enclosed space.
-
D.
hydraulicSystemPressure
Indicates the level of fluid pressure present within a hydraulic system during its operation.
-
E.
chamberPressure_MPa
Indicates the pressure within a chamber, measured in megapascals (MPa), during a specified process or state.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 29, 2026, 8:26 p.m.