Triple
T9106351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghawar oil field |
E218486
|
entity |
| Predicate | estimatedUltimateRecovery |
P48484
|
FINISHED |
| Object | over 100 billion barrels of oil |
—
|
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: over 100 billion barrels of oil | Statement: [Ghawar oil field, estimatedUltimateRecovery, over 100 billion barrels of oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedUltimateRecovery Context triple: [Ghawar oil field, estimatedUltimateRecovery, over 100 billion barrels of oil]
-
A.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
B.
recoverableReservesEstimate
chosen
Indicates an estimated quantity of reserves that can be economically and technically recovered under current conditions.
-
C.
ultimateState
Indicates the final or end condition that an entity or process ultimately reaches after all preceding stages or transitions.
-
D.
estimatedNumberOfPeopleSaved
Indicates the approximate count of individuals whose lives were preserved or harm was averted as a result of a particular action, intervention, or entity.
-
E.
estimatedAffectedPeople
Indicates the estimated number of people expected to be impacted by a particular event, condition, or action.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57286a88190b256d2461c5c0aed |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.