Triple
T23168975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanne d’Arc Basin |
E578790
|
entity |
| Predicate | hasFieldStatus |
P12717
|
FINISHED |
| Object | producing basin |
—
|
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: producing basin | Statement: [Jeanne d’Arc Basin, hasFieldStatus, producing basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFieldStatus Context triple: [Jeanne d’Arc Basin, hasFieldStatus, producing basin]
-
A.
hasFieldColor
Indicates that an entity possesses a field whose color is specified by another entity or value.
-
B.
hasFieldContribution
Indicates that an entity has made a contribution or provided input within a particular field, domain, or area of activity.
-
C.
hasVariableStatus
Indicates that an entity’s status is not fixed but can change over time or under different conditions.
-
D.
hasStatusLabel
chosen
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
E.
hasStatusBasedOn
Indicates that an entity’s status is determined or derived from another condition, event, or entity.
- 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.