Triple
T17327422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Sunday |
E420721
|
entity |
| Predicate | providesTipAbout |
P96535
|
FINISHED |
| Object | hidden oil reserves |
—
|
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: hidden oil reserves | Statement: [Paul Sunday, providesTipAbout, hidden oil reserves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesTipAbout Context triple: [Paul Sunday, providesTipAbout, hidden oil reserves]
-
A.
tipType
Indicates the specific category or kind of tip associated with an action, event, or interaction.
-
B.
providesAdviceOn
chosen
Indicates that one entity gives guidance, recommendations, or expert counsel to another entity regarding a particular subject or matter.
-
C.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
D.
providedInformationTo
Indicates that one entity has supplied or communicated information to another entity.
-
E.
offersInformationOn
Indicates that one entity provides or makes available information about another entity or topic.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d321c881909e63a6870b152c8c |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.