Triple
T23169094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanne d’Arc Basin petroleum system |
E578793
|
entity |
| Predicate | trapTypes |
P31461
|
FINISHED |
| Object | structural traps |
—
|
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: structural traps | Statement: [Jeanne d’Arc Basin petroleum system, trapTypes, structural traps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trapTypes Context triple: [Jeanne d’Arc Basin petroleum system, trapTypes, structural traps]
-
A.
trapType
chosen
Indicates the specific kind or category of trap associated with an entity or situation.
-
B.
trapTrigger
Indicates that an entity activates or sets off a trap in the environment.
-
C.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
D.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
E.
threatTypeAddressed
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2e5e208190839ec37de4b974af |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.