Triple
T34188150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashagan oil field |
E877019
|
entity |
| Predicate | hydrogenSulfideContent |
P178503
|
FINISHED |
| Object | high sulfur |
—
|
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 sulfur | Statement: [Kashagan oil field, hydrogenSulfideContent, high sulfur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hydrogenSulfideContent Context triple: [Kashagan oil field, hydrogenSulfideContent, high sulfur]
-
A.
hydrogenContent
Indicates the amount or proportion of hydrogen present in a given substance, material, or system.
-
B.
hasSulfurOdor
Indicates that an entity emits or possesses an odor characteristic of sulfur or sulfur-containing compounds.
-
C.
typicalSulfurLimit
Indicates the usual or standard upper bound on the amount of sulfur allowed or present in a given context.
-
D.
containsNeutralHydrogen
Indicates that one entity has within it or is composed of neutral (non-ionized) hydrogen associated with the other entity.
-
E.
hasDeficientNeutralHydrogen
Indicates that an entity possesses an abnormally low amount or concentration of neutral hydrogen compared to a relevant standard or expectation.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.