Triple
T12612271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozambique Basin |
E301155
|
entity |
| Predicate | hasExplorationTarget |
P54199
|
FINISHED |
| Object | deepwater plays |
—
|
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: deepwater plays | Statement: [Mozambique Basin, hasExplorationTarget, deepwater plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExplorationTarget Context triple: [Mozambique Basin, hasExplorationTarget, deepwater plays]
-
A.
hasExplorationTargetType
chosen
Indicates the type or category of exploration target associated with an entity.
-
B.
hasExploration
Indicates that one entity engages in, is associated with, or possesses an activity or process of exploration in relation to another entity or context.
-
C.
willBeExploredBy
Indicates that something is expected or planned to be examined, investigated, or studied by a particular agent in the future.
-
D.
hasNotableRegionOfExploration
Indicates that an entity is associated with a specific geographic or conceptual region where its exploration activities are particularly significant or noteworthy.
-
E.
exploredWith
Indicates that one entity explored something together with another entity as companions or partners in the exploration.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:12 p.m.