Triple
T34261281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland Basin |
E879037
|
entity |
| Predicate | discoveredAsPetroleumProvince |
P73791
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Midland Basin, discoveredAsPetroleumProvince, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveredAsPetroleumProvince Context triple: [Midland Basin, discoveredAsPetroleumProvince, early 20th century]
-
A.
discoveredAsPetroleumPlay
chosen
Indicates that the subject was identified or recognized specifically as a viable petroleum exploration or production opportunity.
-
B.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
C.
discoveredHydrocarbons
Indicates that an entity has found or identified the presence of hydrocarbons in or associated with another entity or location.
-
D.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
E.
firstOil
Indicates that the subject is the first entity to discover, produce, or commercially extract oil in relation to the object (such as a region, field, or context).
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 1:56 a.m.