Triple
T31948195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellitah Oil and Gas |
E815707
|
entity |
| Predicate | roleInLibya |
P35889
|
FINISHED |
| Object | key contributor to Libyan hydrocarbon production |
—
|
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: key contributor to Libyan hydrocarbon production | Statement: [Mellitah Oil and Gas, roleInLibya, key contributor to Libyan hydrocarbon production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLibya Context triple: [Mellitah Oil and Gas, roleInLibya, key contributor to Libyan hydrocarbon production]
-
A.
roleInLibyanCivilWar
Indicates the specific involvement, function, or position an entity had in the context of the Libyan Civil War.
-
B.
statusInLibya
Indicates the legal, social, or political condition or standing that an entity holds within the context of Libya.
-
C.
importanceInLibya
chosen
Indicates the degree to which something holds significance, influence, or priority within the context of Libya.
-
D.
recognizedAsLibyaRepresentativeBy
Indicates that an entity is officially acknowledged or accepted as the legitimate representative of Libya by another specified party.
-
E.
endUseInLibya
Indicates that something is ultimately used, consumed, or has its final application within the country of Libya.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:07 a.m.