Triple
T32143058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libyan oil infrastructure |
E820956
|
entity |
| Predicate | secondaryExportCommodity |
P144620
|
FINISHED |
| Object | natural gas liquids |
—
|
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: natural gas liquids | Statement: [Libyan oil infrastructure, secondaryExportCommodity, natural gas liquids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryExportCommodity Context triple: [Libyan oil infrastructure, secondaryExportCommodity, natural gas liquids]
-
A.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
B.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
C.
otherCommodity
chosen
Indicates that an entity is associated with a commodity that is different from a primary, specified, or expected commodity in the given context.
-
D.
secondaryProducts
Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
-
E.
secondaryCargo
Indicates that an entity serves as an additional or auxiliary cargo associated with a primary shipment or load.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: May 1, 2026, 12:31 a.m.