Triple
T14572061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levantine Basin |
E341940
|
entity |
| Predicate | estimatedToContain |
P90324
|
FINISHED |
| Object | hundreds of billions of cubic metres of natural gas |
—
|
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: hundreds of billions of cubic metres of natural gas | Statement: [Levantine Basin, estimatedToContain, hundreds of billions of cubic metres of natural gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedToContain Context triple: [Levantine Basin, estimatedToContain, hundreds of billions of cubic metres of natural gas]
-
A.
believedToContain
Indicates that something is thought or assumed to hold, include, or possess something else, without certainty.
-
B.
areEstimatedIn
Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
-
C.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
D.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
E.
containsApproximately
chosen
Indicates that one entity holds or includes another entity in a quantity or proportion that is close to, but not exactly, a specified amount.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:24 a.m.