Triple
T21001231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah sour gas field |
E517293
|
entity |
| Predicate | gasProcessingCapacity |
P122921
|
FINISHED |
| Object | approximately 1 billion standard cubic feet per day |
—
|
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: approximately 1 billion standard cubic feet per day | Statement: [Shah sour gas field, gasProcessingCapacity, approximately 1 billion standard cubic feet per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasProcessingCapacity Context triple: [Shah sour gas field, gasProcessingCapacity, approximately 1 billion standard cubic feet per day]
-
A.
refiningCapacityBarrelsPerDayApprox
Indicates the approximate amount of crude oil a refinery can process, measured in barrels per day.
-
B.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
C.
productionCapacity
chosen
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
-
D.
unitCapacity
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
E.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc25c1f8819086bdbfd89d390f5f |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:52 p.m.